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	<updated>2026-05-02T00:20:19Z</updated>
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	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=578</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=578"/>
		<updated>2015-11-05T14:39:20Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Native libraries */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Linux-based system ==&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''mitobo-plugins.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;'''except'''&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=577</id>
		<title>Installation/Windows</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=577"/>
		<updated>2015-11-05T08:36:06Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Use MiToBo with an existing ImageJ installation */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Windows-based system ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# extract the mitobo-plugins-1.x binary zip file&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\plugins\''' directory&lt;br /&gt;
#* copy the ''mitobo_plugins.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''mitobo-plugins-1.x\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;'''except'''&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the Native libraries section below) &amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=576</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=576"/>
		<updated>2015-11-05T08:33:04Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Linux-based system ==&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''mitobo-plugins.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;'''except'''&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=575</id>
		<title>Installation/Windows</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=575"/>
		<updated>2015-11-05T08:28:48Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Use MiToBo with an existing ImageJ installation */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Windows-based system ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# extract the mitobo-plugins-1.x binary zip file&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\plugins\''' directory&lt;br /&gt;
#* copy the ''mitobo_plugins.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''mitobo-plugins-1.x\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;'''except'''&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=574</id>
		<title>Installation/Windows</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=574"/>
		<updated>2015-11-05T08:25:37Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Windows-based system ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# extract the mitobo-plugins-1.x binary zip file&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\plugins\''' directory&lt;br /&gt;
#* copy the ''mitobo_plugins.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''mitobo-plugins-1.x\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''mitobo-plugins-1.x\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=573</id>
		<title>Installation/Windows</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=573"/>
		<updated>2015-11-02T13:43:12Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Windows */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Windows-based system ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\plugins\''' directory&lt;br /&gt;
#* copy the ''Mi_To_Bo.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''MiToBo-bin\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''MiToBo-bin\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=572</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=572"/>
		<updated>2015-11-02T13:42:53Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Using MiToBo with ImageJ on Linux */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on a Linux-based system ==&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=571</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=571"/>
		<updated>2015-11-02T13:41:34Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Using MiToBo with ImageJ */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks, e.g., via ImageJ or Fiji&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
The functionality of MiToBo is best used from within ImageJ or Fiji. In case that you aim to use MiToBo for your own development, you need to download the binaries explicitly. The actual installation instructions differ in some parts depending on which way of using MiToBo you have in mind.&amp;lt;br&amp;gt; Below we will first outline more details about the installation steps required for simply using MiToBo's operators in ImageJ and Fiji, and then provide some notes regarding the binary zip file. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with Fiji ==&lt;br /&gt;
Since release 1.5 MiToBo features a Fiji update site and the easiest way to use MiToBo's operators and plugins is to enable the update site in your Fiji installation. &amp;lt;br&amp;gt; The MiToBo update site is&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo]&lt;br /&gt;
&lt;br /&gt;
To enable the site in your Fiji installation refer to the [http://fiji.sc/How_to_follow_a_3rd_party_update_site Fiji documentation].&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
Using MiToBo with a [[Installation/Linux|Linux operating system]].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
Using MiToBo with a [[Installation/Windows|Windows operating system]].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=570</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=570"/>
		<updated>2015-11-02T13:36:57Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Using MiToBo with ImageJ */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks, e.g., via ImageJ or Fiji&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
The functionality of MiToBo is best used from within ImageJ or Fiji. In case that you aim to use MiToBo for your own development, you need to download the binaries explicitly. The actual installation instructions differ in some parts depending on which way of using MiToBo you have in mind.&amp;lt;br&amp;gt; Below we will first outline more details about the installation steps required for simply using MiToBo's operators in ImageJ and Fiji, and then provide some notes regarding the binary zip file. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with Fiji ==&lt;br /&gt;
Since release 1.5 MiToBo features a Fiji update site and the easiest way to use MiToBo's operators and plugins is to enable the update site in your Fiji installation. &amp;lt;br&amp;gt; The MiToBo update site is&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo]&lt;br /&gt;
&lt;br /&gt;
To enable the site in your Fiji installation refer to the [http://fiji.sc/How_to_follow_a_3rd_party_update_site Fiji documentation].&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
see [[Installation/Linux|linux]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=569</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=569"/>
		<updated>2015-11-02T13:36:39Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Using MiToBo with ImageJ */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks, e.g., via ImageJ or Fiji&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
The functionality of MiToBo is best used from within ImageJ or Fiji. In case that you aim to use MiToBo for your own development, you need to download the binaries explicitly. The actual installation instructions differ in some parts depending on which way of using MiToBo you have in mind.&amp;lt;br&amp;gt; Below we will first outline more details about the installation steps required for simply using MiToBo's operators in ImageJ and Fiji, and then provide some notes regarding the binary zip file. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with Fiji ==&lt;br /&gt;
Since release 1.5 MiToBo features a Fiji update site and the easiest way to use MiToBo's operators and plugins is to enable the update site in your Fiji installation. &amp;lt;br&amp;gt; The MiToBo update site is&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo]&lt;br /&gt;
&lt;br /&gt;
To enable the site in your Fiji installation refer to the [http://fiji.sc/How_to_follow_a_3rd_party_update_site Fiji documentation].&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
see [[installation/linux|linux]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=568</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=568"/>
		<updated>2015-11-02T13:35:57Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Using MiToBo with ImageJ */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks, e.g., via ImageJ or Fiji&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
The functionality of MiToBo is best used from within ImageJ or Fiji. In case that you aim to use MiToBo for your own development, you need to download the binaries explicitly. The actual installation instructions differ in some parts depending on which way of using MiToBo you have in mind.&amp;lt;br&amp;gt; Below we will first outline more details about the installation steps required for simply using MiToBo's operators in ImageJ and Fiji, and then provide some notes regarding the binary zip file. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with Fiji ==&lt;br /&gt;
Since release 1.5 MiToBo features a Fiji update site and the easiest way to use MiToBo's operators and plugins is to enable the update site in your Fiji installation. &amp;lt;br&amp;gt; The MiToBo update site is&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo]&lt;br /&gt;
&lt;br /&gt;
To enable the site in your Fiji installation refer to the [http://fiji.sc/How_to_follow_a_3rd_party_update_site Fiji documentation].&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
see [[installation|linux]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=567</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=567"/>
		<updated>2015-11-02T13:33:39Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks, e.g., via ImageJ or Fiji&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
The functionality of MiToBo is best used from within ImageJ or Fiji. In case that you aim to use MiToBo for your own development, you need to download the binaries explicitly. The actual installation instructions differ in some parts depending on which way of using MiToBo you have in mind.&amp;lt;br&amp;gt; Below we will first outline more details about the installation steps required for simply using MiToBo's operators in ImageJ and Fiji, and then provide some notes regarding the binary zip file. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with Fiji ==&lt;br /&gt;
Since release 1.5 MiToBo features a Fiji update site and the easiest way to use MiToBo's operators and plugins is to enable the update site in your Fiji installation. &amp;lt;br&amp;gt; The MiToBo update site is&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo]&lt;br /&gt;
&lt;br /&gt;
To enable the site in your Fiji installation refer to the [http://fiji.sc/How_to_follow_a_3rd_party_update_site Fiji documentation].&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=566</id>
		<title>Installation/Windows</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Windows&amp;diff=566"/>
		<updated>2015-11-02T13:32:12Z</updated>

		<summary type="html">&lt;p&gt;Misiak: Created page with &amp;quot;== Windows ==  &amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Fil...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Windows ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\plugins\''' directory&lt;br /&gt;
#* copy the ''Mi_To_Bo.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''MiToBo-bin\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''MiToBo-bin\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=565</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=565"/>
		<updated>2015-11-02T13:30:36Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on Linux ==&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=564</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=564"/>
		<updated>2015-11-02T13:30:13Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on Linux ==&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
=== Use MiToBo with an existing ImageJ installation ===&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
=== Native libraries ===&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=563</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=563"/>
		<updated>2015-11-02T13:29:44Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on Linux ==&lt;br /&gt;
&lt;br /&gt;
=== Use MiToBo as shipped ===&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
=== Use MiToBo with an existing ImageJ installation ===&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
=== Native libraries ===&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=562</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=562"/>
		<updated>2015-11-02T13:29:00Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Using MiToBo with ImageJ on Linux ==&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=561</id>
		<title>Installation/Linux</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation/Linux&amp;diff=561"/>
		<updated>2015-11-02T13:27:14Z</updated>

		<summary type="html">&lt;p&gt;Misiak: Created page with &amp;quot;=== Linux ===  ==== Use MiToBo as shipped ==== Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt; You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scri...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Linux ===&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=555</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=555"/>
		<updated>2015-06-23T07:06:05Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
Finally the Bioconductor package [http://www.bioconductor.org/packages/release/bioc/html/xcms.html xcms] must be installed.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' was tested with R version 3.1.0 (2014-04-10) with rJava_0.9-6 (2013-12-23).&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
----&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''June 2014''' (since MiToBo version [[Downloads | 1.4]])&lt;br /&gt;
* Updated rJava from rJava_0.9-5 to rJava_0.9-6&lt;br /&gt;
&lt;br /&gt;
'''February 2014''' (since MiToBo version [[Downloads | 1.3]])&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Downloads&amp;diff=499</id>
		<title>Downloads</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Downloads&amp;diff=499"/>
		<updated>2015-03-27T08:12:43Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Here you can find the current release of MiToBo for download. Likewise older versions and additional libraries required to run MiToBo can be found here.&lt;br /&gt;
&lt;br /&gt;
For detailed information on the installation process take a look at the [[Installation]] page.&lt;br /&gt;
&lt;br /&gt;
== Current release (v1.4.2)==&lt;br /&gt;
&lt;br /&gt;
'''Please note:&amp;lt;br&amp;gt; due to server problems downloads from the moon server are currently not possible!&amp;lt;br&amp;gt; If you would like to download Mitobo please use the following temporary link to [http://www.informatik.uni-halle.de/mitobo/downloads/mitobo-plugins-1.4.2-bin.zip mitobo-plugins-1.4.2-bin.zip] !&amp;lt;br&amp;gt; Thank you very much and apologizes for the inconveniences!'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The current release of MiToBo is 1.4.2.&lt;br /&gt;
&lt;br /&gt;
Since release 1.3 we support Maven for managing MiToBo's resources.&amp;lt;br&amp;gt; You can download the release files as well as the Maven artifacts from our Maven server.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;blockquote style=&amp;quot;background-color: lightgrey; border: solid thin grey;&amp;quot;&amp;gt;&lt;br /&gt;
'''[[Using MiToBo with ImageJ 1.x:]]'''&amp;lt;br&amp;gt;&lt;br /&gt;
For using MiToBo with ImageJ it is the easiest to download the distribution zipfile,&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.4.2/mitobo-plugins-1.4.2-bin.zip https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.4.2/mitobo-plugins-1.4.2-bin.zip]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which already includes '''''all''''' dependencies and ships with some scripts to run MiToBo's operators and plugins out of the box. See the [http://www2.informatik.uni-halle.de/agprbio/mitobo/index.php/Installation installation instructions] for further information.&lt;br /&gt;
&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On the server you can find...&lt;br /&gt;
* ... the MiToBo core distribution including documentation, release 1.4.2: [https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo/1.4.2 https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo/1.4.2]&lt;br /&gt;
* ... MiToBo's ImageJ plugins to use MiToBo with ImageJ, release 1.4.2: [https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.4.2 https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.4.2]&lt;br /&gt;
* ... and some helper jars (... note that these are already included in the distribution jars of the core and the plugins packages):&lt;br /&gt;
** mitobo-xml: [https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-xml/2.0 https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-xml/2.0]&lt;br /&gt;
&lt;br /&gt;
MiToBo's implementation requires at least Java 1.6 (but Java 1.7 is not yet fully supported).&lt;br /&gt;
&lt;br /&gt;
== Manual ==&lt;br /&gt;
&lt;br /&gt;
Detailed information about MiToBo, its API and usage, can be found in MiToBo's User and Programmer Guide.&lt;br /&gt;
&lt;br /&gt;
* MiToBo-Guide, Version 1.0 [http://www.informatik.uni-halle.de/mitobo/downloads/manual/MiToBoManual.pdf pdf]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Additional resources ==&lt;br /&gt;
&lt;br /&gt;
* '''Chipory''' - a graph visualization tool for displaying MiToBo history graphs&amp;lt;br/&amp;gt;Chipory is an extended version of the [http://www.cs.bilkent.edu.tr/~ivis/chisio.html Chisio software] developed at the Bilkent University in Turkey.&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
The zip file below contains all necessary files. Download this file and unpack it into a folder of your choice.&lt;br /&gt;
&lt;br /&gt;
* To use Chipory on a Linux system with 32-bit architecture just type './Chipory.sh'.&amp;lt;BR&amp;gt;&lt;br /&gt;
* In case that your machine has a 64-bit architecture running Linux, call './Chipory_64.sh'.&amp;lt;BR&amp;gt;&lt;br /&gt;
* For Windows with 32-bit architecture a self extracting installer  including an executable of Chipory is available.&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
Download the current release:&lt;br /&gt;
* Chipory binary  [http://www.informatik.uni-halle.de/mitobo/downloads/Chipory.zip zip]&lt;br /&gt;
* self extracting installer for Windows [http://www.informatik.uni-halle.de/mitobo/downloads/chipory-setup.exe chipory-setup.exe]&lt;br /&gt;
Source code for Chipory is available upon request.&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* [http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Logo ==&lt;br /&gt;
&lt;br /&gt;
* MiToBo logo as [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_logo.pdf PDF] or [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_logo.png PNG]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Earlier releases of MiToBo (&amp;lt; 1.3) ==&lt;br /&gt;
&lt;br /&gt;
Since release 1.3 MiToBo's resources are available from our Maven archive server: [https://moon.informatik.uni-halle.de/archiva/]&amp;lt;br&amp;gt;Binaries, sources and documentation for versions older than the current release, but at least of version 1.3 or newer can be found there.&amp;lt;br&amp;gt; All other releases can be accessed via the list below.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{| border = &amp;quot;1&amp;quot; cellpadding = &amp;quot;5pt&amp;quot; cellspacing = &amp;quot;0&amp;quot; style = &amp;quot;border-color: #DDD; text-align: center; width: 80%&amp;quot;&lt;br /&gt;
! Version &lt;br /&gt;
! Binaries &lt;br /&gt;
! Sources &lt;br /&gt;
! API &lt;br /&gt;
! Date&lt;br /&gt;
|-&lt;br /&gt;
| 1.2&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-bin-v1.2.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-v1.2.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-v1.2.zip zip]&lt;br /&gt;
| May 17th, 2013&lt;br /&gt;
|-&lt;br /&gt;
|-&lt;br /&gt;
| 1.1&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-bin-v1.1.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-v1.1.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-v1.1.zip zip]&lt;br /&gt;
| March 1st, 2013&lt;br /&gt;
|-&lt;br /&gt;
| 1.0.5&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-1.0.5.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-1.0.5.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-1.0.5.zip zip]&lt;br /&gt;
| October 23rd, 2012&lt;br /&gt;
|-&lt;br /&gt;
| 1.0.1&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-1.0.1.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-1.0.1.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-1.0.1.zip zip]&lt;br /&gt;
| July 6th, 2012&lt;br /&gt;
|-&lt;br /&gt;
| 1.0.0&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-1.0.0.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-1.0.0.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-1.0.0.zip zip]&lt;br /&gt;
| April 26th, 2012&lt;br /&gt;
|-&lt;br /&gt;
| 0.96&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-0.9.6.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-0.9.6.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-0.9.6.zip zip]&lt;br /&gt;
| September 01, 2011&lt;br /&gt;
|-&lt;br /&gt;
| 0.95&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-0.9.5.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-0.9.5.zip zip]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_api-0.9.5.zip zip]&lt;br /&gt;
| June 08, 2011 (updated June 22nd, 2011)&lt;br /&gt;
|-&lt;br /&gt;
| 0.9&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-0.9.zip zip] [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo-0.9.tar.gz tar.gz]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-0.9.zip zip] [http://www.informatik.uni-halle.de/mitobo/downloads/MiToBo_src-0.9.tar.gz tar.gz]&lt;br /&gt;
| [http://www.informatik.uni-halle.de/mitobo/downloads/mitobo-api-0.9.zip zip] [http://www.informatik.uni-halle.de/mitobo/downloads/mitobo-api-0.9.tar.gz tar.gz]&lt;br /&gt;
| October 26, 2010&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Requirements (for MiToBo &amp;lt; 1.3) ===&lt;br /&gt;
MiToBo requires Java 1.6 or later. &lt;br /&gt;
&lt;br /&gt;
'''Note''': Java 1.7 is currently not fully supported!&lt;br /&gt;
&lt;br /&gt;
The following external jars are needed to run MiToBo plugins and use the code.&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;b&amp;gt;Note that the binary zip file already includes all jars required, there is no need for explicit download!&amp;lt;/b&amp;gt;&lt;br /&gt;
&lt;br /&gt;
MiToBo depends on the following external jars:&lt;br /&gt;
&lt;br /&gt;
* [http://rsbweb.nih.gov/ij/ ImageJ], &amp;gt;= Version 1.47d&lt;br /&gt;
* [http://xmlbeans.apache.org/ XMLBeans], Version 2.5.0&lt;br /&gt;
* [http://xstream.codehaus.org/ XStream], Version 1.3.1&lt;br /&gt;
* [http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM], Version 3.1&lt;br /&gt;
* [http://www.loci.wisc.edu/software/bio-formats/ Loci Tools], Version 4.3.3&lt;br /&gt;
* [http://math.nist.gov/javanumerics/jama/ Jama], Version 1.0.2 &lt;br /&gt;
* [http://javahelp.java.net/ JavaHelp], Version 2.0_05&lt;br /&gt;
* [http://sezpoz.java.net/ SezPoz], Version 1.9&lt;br /&gt;
* [http://www.jgraph.com/mxdownload.html JGraph], Version 1.7.1.8&lt;br /&gt;
&lt;br /&gt;
* [https://jai-imageio.dev.java.net/ JAI ImageIO], Version 1.1 (only required for MiToBo 0.9)&lt;br /&gt;
&lt;br /&gt;
=== Project internal libraries ===&lt;br /&gt;
&lt;br /&gt;
MiToBo also relies on some libraries provided by the MiToBo project itself.&amp;lt;br&amp;gt;&lt;br /&gt;
In particular XML schemes for representing the history graphs and MiToBo's online help are included in separate jar archives.&lt;br /&gt;
&lt;br /&gt;
'''[[Note]]:''' &amp;lt;br/&amp;gt;&lt;br /&gt;
''' You do not need to download these libraries explicitly. If you download the binary zip file all jars and libraries are already included.''' &amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The MiToBo internal archive files included in the zip file are the following ones:&lt;br /&gt;
&lt;br /&gt;
* ALDGraphml, Version 1.0.0 (Alida extensions for [http://graphml.graphdrawing.org/ graphML]):&lt;br /&gt;
** Binary [http://www.informatik.uni-halle.de/mitobo/downloads/aldgraphml/aldgraphml.jar jar]&lt;br /&gt;
* MTBXml, Version 1.0.0 (MiToBo XML I/O for several datatypes, based on XMLBeans):&lt;br /&gt;
** Binary [http://www.informatik.uni-halle.de/mitobo/downloads/mtbxml/mtbxml.jar jar] &lt;br /&gt;
* MiToBo-Help, Version 1.0.0 (MiToBo JavaHelp pages):&lt;br /&gt;
** Binary [http://www.informatik.uni-halle.de/mitobo/downloads/mitoboHelp/MiToBo-Help.jar jar] &lt;br /&gt;
&lt;br /&gt;
The following library is only required for MiToBo-0.9: &lt;br /&gt;
&lt;br /&gt;
* MTBImageIO-Ext, Version 0.9 (improved image I/O based on ImageIO-Ext):&lt;br /&gt;
** Binary [http://www.informatik.uni-halle.de/mitobo/downloads/mtbimageio/mtb-imageio-ext-tiff-0.9.jar jar]&lt;br /&gt;
** Source code [http://www.informatik.uni-halle.de/mitobo/downloads/mtbimageio/mtb-imageio-ext-tiff_src-0.9.zip zip]&lt;br /&gt;
** Alternatively, the [https://imageio-ext.dev.java.net/ ImageIO-Ext] library can be used, which depends on the [https://jai-imageio.dev.java.net/ JAI ImageIO] library and the [https://jai.dev.java.net/ JAI] library.&amp;lt;br/&amp;gt;MTBImageIO-Ext is simply the TIFF part of ImageIO-Ext with slight adjustments to remove dependency on the JAI library.&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=425</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=425"/>
		<updated>2014-06-25T09:20:52Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' was tested with R version 3.1.0 (2014-04-10) with rJava_0.9-6 (2013-12-23).&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
----&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''June 2014''' (since MiToBo version [[Downloads | 1.4]])&lt;br /&gt;
* Updated rJava from rJava_0.9-5 to rJava_0.9-6&lt;br /&gt;
&lt;br /&gt;
'''February 2014''' (since MiToBo version [[Downloads | 1.3]])&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=424</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=424"/>
		<updated>2014-06-25T09:14:38Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' was tested with R version 3.1.0 (2014-04-10) with rJava_0.9-6.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
----&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''June 2014''' (since MiToBo version [[Downloads | 1.4]])&lt;br /&gt;
* Updated rJava from rJava_0.9-5 to rJava_0.9-6&lt;br /&gt;
&lt;br /&gt;
'''February 2014''' (since MiToBo version [[Downloads | 1.3]])&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=423</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=423"/>
		<updated>2014-06-25T09:13:16Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-6.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
----&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''June 2014''' (since MiToBo version [[Downloads | 1.4]])&lt;br /&gt;
* Updated rJava from rJava_0.9-5 to rJava_0.9-6&lt;br /&gt;
&lt;br /&gt;
'''February 2014''' (since MiToBo version [[Downloads | 1.3]])&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=410</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=410"/>
		<updated>2014-02-03T12:58:28Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* January 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== MiToBo - A &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;m&amp;lt;/span&amp;gt;icroscope &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;i&amp;lt;/span&amp;gt;mage analysis &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;to&amp;lt;/span&amp;gt;ol&amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;bo&amp;lt;/span&amp;gt;x== &lt;br /&gt;
The Microscope Image Analysis Toolbox MiToBo is an extension for the widely used image processing application [http://rsbweb.nih.gov/ij/ ImageJ] and its new release [http://developer.imagej.net/ ImageJ 2.0].&amp;lt;br /&amp;gt; &lt;br /&gt;
MiToBo ships with a set of operators ready to be used as plugins in ImageJ. They focus on the analysis of biomedical images acquired by various &lt;br /&gt;
types of microscopes.&amp;lt;br /&amp;gt;&lt;br /&gt;
Some of MiToBo's operators are for example these ones:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; ''Scratch Assay Analyzer'' for analyzing microscope images from cell migration experiments&lt;br /&gt;
&amp;lt;li&amp;gt; ''Neuron Analyzer'' for the segmentation of neurons in microscope images&lt;br /&gt;
&amp;lt;li&amp;gt; ''Snake Optimizer'' for performing image segmentation based on explicit active contours&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Furthermore, MiToBo offers a user- and programmer friendly framework for developing algorithms that have properties not available in ImageJ, &amp;lt;br /&amp;gt;&lt;br /&gt;
however, still provides full compatibility to all ImageJ features. &amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo completely separates the implementation of image processing algorithms from potential user interfaces.&amp;lt;br /&amp;gt; &lt;br /&gt;
Moreover, MiToBo builds on top of [http://www.informatik.uni-halle.de/alida/ Alida] which is a library for easing the development of data analysis&lt;br /&gt;
algorithms and tools.&amp;lt;br&amp;gt; The main concept of Alida are operators as the core units for implementing data analysis algorithms. &amp;lt;br /&amp;gt;&lt;br /&gt;
Alida defines unified interfaces and execution procedures for operators which yield the fundament for its nice features like &lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; automatic documentation of complete analysis processes, e.g., leading from an input image to analysis results, in terms of processing graphs&lt;br /&gt;
&amp;lt;li&amp;gt; automatic generation of commandline and graphical user interfaces&lt;br /&gt;
&amp;lt;li&amp;gt; a graphical programming editor named '''''Grappa''''' automatically considering all implemented operators as potential processing nodes&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo takes full advantage of Alida's features, hence, provides a framework for implementing image analysis algorithms allowing for automatic documentation and automatic user interface generation, and includes the graphical programming editor Grappa for user-friendly design of more complex processing pipelines.&lt;br /&gt;
&lt;br /&gt;
== Current release ==&lt;br /&gt;
You can download MiToBo version 1.3 [[Downloads | here]]. &amp;lt;br /&amp;gt;&lt;br /&gt;
You can find the API documentation for this release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].&amp;lt;br/&amp;gt;&lt;br /&gt;
Furthermore MiToBo offers you a user and programmer guide which you can download [http://www.informatik.uni-halle.de/mitobo/downloads/manual/MiToBoManual.pdf here].&lt;br /&gt;
&lt;br /&gt;
== Latest News ==&lt;br /&gt;
&lt;br /&gt;
=== January 2014 ===&lt;br /&gt;
* Version 1.3 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The project management of MiToBo switched to Maven, from now on you can download MiToBo releases from our [https://moon.informatik.uni-halle.de/archiva/browse/de.unihalle.informatik.MiToBo Maven server].&amp;lt;br&amp;gt; The new release ships with a new version of the ''[[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]'' and includes the first release of the ''SingleCellMigrationAnalyzer'',&amp;lt;br&amp;gt; a tool for cell tracking and migration analysis. In addition, in the MiToBo core several bugs were fixed, an illumination correction and a&amp;lt;br&amp;gt; top-hat based contrast enhancement were added.&lt;br /&gt;
&lt;br /&gt;
=== May 2013 ===&lt;br /&gt;
* Version 1.2 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo now includes Alida 2.2.1 which comes with a new mechanism to save and load operator configurations based on XML Beans.&amp;lt;br&amp;gt;&lt;br /&gt;
Also Grappa has undergone some changes to improve usability, e.g. it now supports key shortcuts for the most important actions.&lt;br /&gt;
&lt;br /&gt;
=== March 2013 ===&lt;br /&gt;
* Version 1.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo has undergone several internal enhancements mainly dedicated to the stability and usability of the core and its user interfaces.&amp;lt;br&amp;gt;&lt;br /&gt;
In addition, MiToBo now includes the ''Neuron Analyzer'' which is an application for the analysis of 2D images of neuronal cells.&amp;lt;br&amp;gt;&lt;br /&gt;
The analyzer is capable of extracting complete regions of neuronal cells (not only traces) and allows for extraction of protein &lt;br /&gt;
concentrations along the neurites. &lt;br /&gt;
&lt;br /&gt;
=== October 2012 ===&lt;br /&gt;
* Version 1.0.5 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most important new feature is the graphical programming editor &amp;quot;Grappa&amp;quot; which is released in this new MiToBo version!&amp;lt;br&amp;gt;&lt;br /&gt;
The editor, although still in an early state, already provides a solid fundament for designing image analysis workflows in a graphical manner without need for programming.&amp;lt;br&amp;gt;&lt;br /&gt;
Grappa is available as plugin for ImageJ. Note that the editor will be presented in a talk at the '''ImageJ User &amp;amp; Developer Conference 2012'''.&amp;lt;br&amp;gt;&lt;br /&gt;
Besided the new editor other changes have mainly been done under the hood, e.g., online consistency checks within the graphical user interfaces have been integrated.&lt;br /&gt;
* Updated version of Chipory available for download.&lt;br /&gt;
&lt;br /&gt;
=== August 2012 ===&lt;br /&gt;
Some of the MiToBo developers will join the '''ImageJ User &amp;amp; Developer Conference 2012''' to be held at the end of October in Mondorf-les-Bains, Luxembourg.&amp;lt;br/&amp;gt;&lt;br /&gt;
In particular, two plugins for ImageJ implemented in MiToBo will be presented and demonstrated in posters:&lt;br /&gt;
&lt;br /&gt;
* B. Möller and D. Misiak, &amp;quot;SnakeOptimizer - Object Segmentation with Parametric Active Contours in ImageJ&amp;quot;&lt;br /&gt;
* M. Glaß, B. Möller and S. Posch, &amp;quot;Scratch Assay Analysis in ImageJ&amp;quot;&lt;br /&gt;
&lt;br /&gt;
We are looking forward to meet you in Mondorf-les-Bains!&lt;br /&gt;
&lt;br /&gt;
=== July 2012 - Release 1.0.1 ===&lt;br /&gt;
Version 1.0.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The new release ships with new quick start plugins for the SnakeOptimizer and ScratchAssayAnalyzer operators.&amp;lt;br/&amp;gt;&lt;br /&gt;
In addition a lot of bugs have been fixed in the core of Alida/MiToBo improving robustness and usability of the operators and their automatically generated user interfaces.&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
New release of chipory ready for download&lt;br /&gt;
&lt;br /&gt;
=== April 2012 ===&lt;br /&gt;
Version 1.0.0 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most interesting new features are:&lt;br /&gt;
&lt;br /&gt;
* automatic generation of graphical user interfaces for MiToBo operators&lt;br /&gt;
* a flexible generic tool for running operators via command line&lt;br /&gt;
* operators performing level set segmentation on images&lt;br /&gt;
* support for saving/loading parameter settings from GUI&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
== News Archive ==&lt;br /&gt;
The news archive can be found [[News Archive | here]].&lt;br /&gt;
&lt;br /&gt;
== Licensing information ==&lt;br /&gt;
MiToBo is free software: you can redistribute it and/or modify under the terms of the [http://www.gnu.org/licenses/gpl-3.0.html GNU General Public License version 3] or (at your option) any later version as published by the [http://www.fsf.org/ Free Software Foundation].&lt;br /&gt;
&lt;br /&gt;
== Bug reports &amp;amp; Feature requests ==&lt;br /&gt;
Bug reports and feature requests can be submitted via the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/bug_report_page.php MiToBo bugtracking system] or by mail to [mailto:mitobo@informatik.uni-halle.de mitobo@informatik.uni-halle.de].&amp;lt;br /&amp;gt;&lt;br /&gt;
Before reporting a new bug, please check if that bug has already been submitted in the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/view_all_bug_page.php report list].&amp;lt;br /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=409</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=409"/>
		<updated>2014-02-03T12:57:32Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* January 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== MiToBo - A &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;m&amp;lt;/span&amp;gt;icroscope &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;i&amp;lt;/span&amp;gt;mage analysis &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;to&amp;lt;/span&amp;gt;ol&amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;bo&amp;lt;/span&amp;gt;x== &lt;br /&gt;
The Microscope Image Analysis Toolbox MiToBo is an extension for the widely used image processing application [http://rsbweb.nih.gov/ij/ ImageJ] and its new release [http://developer.imagej.net/ ImageJ 2.0].&amp;lt;br /&amp;gt; &lt;br /&gt;
MiToBo ships with a set of operators ready to be used as plugins in ImageJ. They focus on the analysis of biomedical images acquired by various &lt;br /&gt;
types of microscopes.&amp;lt;br /&amp;gt;&lt;br /&gt;
Some of MiToBo's operators are for example these ones:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; ''Scratch Assay Analyzer'' for analyzing microscope images from cell migration experiments&lt;br /&gt;
&amp;lt;li&amp;gt; ''Neuron Analyzer'' for the segmentation of neurons in microscope images&lt;br /&gt;
&amp;lt;li&amp;gt; ''Snake Optimizer'' for performing image segmentation based on explicit active contours&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Furthermore, MiToBo offers a user- and programmer friendly framework for developing algorithms that have properties not available in ImageJ, &amp;lt;br /&amp;gt;&lt;br /&gt;
however, still provides full compatibility to all ImageJ features. &amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo completely separates the implementation of image processing algorithms from potential user interfaces.&amp;lt;br /&amp;gt; &lt;br /&gt;
Moreover, MiToBo builds on top of [http://www.informatik.uni-halle.de/alida/ Alida] which is a library for easing the development of data analysis&lt;br /&gt;
algorithms and tools.&amp;lt;br&amp;gt; The main concept of Alida are operators as the core units for implementing data analysis algorithms. &amp;lt;br /&amp;gt;&lt;br /&gt;
Alida defines unified interfaces and execution procedures for operators which yield the fundament for its nice features like &lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; automatic documentation of complete analysis processes, e.g., leading from an input image to analysis results, in terms of processing graphs&lt;br /&gt;
&amp;lt;li&amp;gt; automatic generation of commandline and graphical user interfaces&lt;br /&gt;
&amp;lt;li&amp;gt; a graphical programming editor named '''''Grappa''''' automatically considering all implemented operators as potential processing nodes&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo takes full advantage of Alida's features, hence, provides a framework for implementing image analysis algorithms allowing for automatic documentation and automatic user interface generation, and includes the graphical programming editor Grappa for user-friendly design of more complex processing pipelines.&lt;br /&gt;
&lt;br /&gt;
== Current release ==&lt;br /&gt;
You can download MiToBo version 1.3 [[Downloads | here]]. &amp;lt;br /&amp;gt;&lt;br /&gt;
You can find the API documentation for this release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].&amp;lt;br/&amp;gt;&lt;br /&gt;
Furthermore MiToBo offers you a user and programmer guide which you can download [http://www.informatik.uni-halle.de/mitobo/downloads/manual/MiToBoManual.pdf here].&lt;br /&gt;
&lt;br /&gt;
== Latest News ==&lt;br /&gt;
&lt;br /&gt;
=== January 2014 ===&lt;br /&gt;
* Version 1.3 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The project management of MiToBo switched to Maven, from now on you can download MiToBo releases from our [https://moon.informatik.uni-halle.de/archiva/browse/de.unihalle.informatik.MiToBo Maven server].&amp;lt;br&amp;gt; The new release ships with a new version of the ''[[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]'' and includes the first release of the ''SingleCellMigrationAnalyzer'',&amp;lt;br&amp;gt; a tool for cell tracking and migration analysis. In addition, in the MiToBo core several bugs were fixed, an illumination correction and a&amp;lt;br&amp;gt; top-hat based contrast enhancement was added, especially for gray value bright filed images.&lt;br /&gt;
&lt;br /&gt;
=== May 2013 ===&lt;br /&gt;
* Version 1.2 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo now includes Alida 2.2.1 which comes with a new mechanism to save and load operator configurations based on XML Beans.&amp;lt;br&amp;gt;&lt;br /&gt;
Also Grappa has undergone some changes to improve usability, e.g. it now supports key shortcuts for the most important actions.&lt;br /&gt;
&lt;br /&gt;
=== March 2013 ===&lt;br /&gt;
* Version 1.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo has undergone several internal enhancements mainly dedicated to the stability and usability of the core and its user interfaces.&amp;lt;br&amp;gt;&lt;br /&gt;
In addition, MiToBo now includes the ''Neuron Analyzer'' which is an application for the analysis of 2D images of neuronal cells.&amp;lt;br&amp;gt;&lt;br /&gt;
The analyzer is capable of extracting complete regions of neuronal cells (not only traces) and allows for extraction of protein &lt;br /&gt;
concentrations along the neurites. &lt;br /&gt;
&lt;br /&gt;
=== October 2012 ===&lt;br /&gt;
* Version 1.0.5 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most important new feature is the graphical programming editor &amp;quot;Grappa&amp;quot; which is released in this new MiToBo version!&amp;lt;br&amp;gt;&lt;br /&gt;
The editor, although still in an early state, already provides a solid fundament for designing image analysis workflows in a graphical manner without need for programming.&amp;lt;br&amp;gt;&lt;br /&gt;
Grappa is available as plugin for ImageJ. Note that the editor will be presented in a talk at the '''ImageJ User &amp;amp; Developer Conference 2012'''.&amp;lt;br&amp;gt;&lt;br /&gt;
Besided the new editor other changes have mainly been done under the hood, e.g., online consistency checks within the graphical user interfaces have been integrated.&lt;br /&gt;
* Updated version of Chipory available for download.&lt;br /&gt;
&lt;br /&gt;
=== August 2012 ===&lt;br /&gt;
Some of the MiToBo developers will join the '''ImageJ User &amp;amp; Developer Conference 2012''' to be held at the end of October in Mondorf-les-Bains, Luxembourg.&amp;lt;br/&amp;gt;&lt;br /&gt;
In particular, two plugins for ImageJ implemented in MiToBo will be presented and demonstrated in posters:&lt;br /&gt;
&lt;br /&gt;
* B. Möller and D. Misiak, &amp;quot;SnakeOptimizer - Object Segmentation with Parametric Active Contours in ImageJ&amp;quot;&lt;br /&gt;
* M. Glaß, B. Möller and S. Posch, &amp;quot;Scratch Assay Analysis in ImageJ&amp;quot;&lt;br /&gt;
&lt;br /&gt;
We are looking forward to meet you in Mondorf-les-Bains!&lt;br /&gt;
&lt;br /&gt;
=== July 2012 - Release 1.0.1 ===&lt;br /&gt;
Version 1.0.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The new release ships with new quick start plugins for the SnakeOptimizer and ScratchAssayAnalyzer operators.&amp;lt;br/&amp;gt;&lt;br /&gt;
In addition a lot of bugs have been fixed in the core of Alida/MiToBo improving robustness and usability of the operators and their automatically generated user interfaces.&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
New release of chipory ready for download&lt;br /&gt;
&lt;br /&gt;
=== April 2012 ===&lt;br /&gt;
Version 1.0.0 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most interesting new features are:&lt;br /&gt;
&lt;br /&gt;
* automatic generation of graphical user interfaces for MiToBo operators&lt;br /&gt;
* a flexible generic tool for running operators via command line&lt;br /&gt;
* operators performing level set segmentation on images&lt;br /&gt;
* support for saving/loading parameter settings from GUI&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
== News Archive ==&lt;br /&gt;
The news archive can be found [[News Archive | here]].&lt;br /&gt;
&lt;br /&gt;
== Licensing information ==&lt;br /&gt;
MiToBo is free software: you can redistribute it and/or modify under the terms of the [http://www.gnu.org/licenses/gpl-3.0.html GNU General Public License version 3] or (at your option) any later version as published by the [http://www.fsf.org/ Free Software Foundation].&lt;br /&gt;
&lt;br /&gt;
== Bug reports &amp;amp; Feature requests ==&lt;br /&gt;
Bug reports and feature requests can be submitted via the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/bug_report_page.php MiToBo bugtracking system] or by mail to [mailto:mitobo@informatik.uni-halle.de mitobo@informatik.uni-halle.de].&amp;lt;br /&amp;gt;&lt;br /&gt;
Before reporting a new bug, please check if that bug has already been submitted in the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/view_all_bug_page.php report list].&amp;lt;br /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=408</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=408"/>
		<updated>2014-02-03T12:56:32Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* January 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== MiToBo - A &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;m&amp;lt;/span&amp;gt;icroscope &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;i&amp;lt;/span&amp;gt;mage analysis &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;to&amp;lt;/span&amp;gt;ol&amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;bo&amp;lt;/span&amp;gt;x== &lt;br /&gt;
The Microscope Image Analysis Toolbox MiToBo is an extension for the widely used image processing application [http://rsbweb.nih.gov/ij/ ImageJ] and its new release [http://developer.imagej.net/ ImageJ 2.0].&amp;lt;br /&amp;gt; &lt;br /&gt;
MiToBo ships with a set of operators ready to be used as plugins in ImageJ. They focus on the analysis of biomedical images acquired by various &lt;br /&gt;
types of microscopes.&amp;lt;br /&amp;gt;&lt;br /&gt;
Some of MiToBo's operators are for example these ones:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; ''Scratch Assay Analyzer'' for analyzing microscope images from cell migration experiments&lt;br /&gt;
&amp;lt;li&amp;gt; ''Neuron Analyzer'' for the segmentation of neurons in microscope images&lt;br /&gt;
&amp;lt;li&amp;gt; ''Snake Optimizer'' for performing image segmentation based on explicit active contours&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Furthermore, MiToBo offers a user- and programmer friendly framework for developing algorithms that have properties not available in ImageJ, &amp;lt;br /&amp;gt;&lt;br /&gt;
however, still provides full compatibility to all ImageJ features. &amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo completely separates the implementation of image processing algorithms from potential user interfaces.&amp;lt;br /&amp;gt; &lt;br /&gt;
Moreover, MiToBo builds on top of [http://www.informatik.uni-halle.de/alida/ Alida] which is a library for easing the development of data analysis&lt;br /&gt;
algorithms and tools.&amp;lt;br&amp;gt; The main concept of Alida are operators as the core units for implementing data analysis algorithms. &amp;lt;br /&amp;gt;&lt;br /&gt;
Alida defines unified interfaces and execution procedures for operators which yield the fundament for its nice features like &lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; automatic documentation of complete analysis processes, e.g., leading from an input image to analysis results, in terms of processing graphs&lt;br /&gt;
&amp;lt;li&amp;gt; automatic generation of commandline and graphical user interfaces&lt;br /&gt;
&amp;lt;li&amp;gt; a graphical programming editor named '''''Grappa''''' automatically considering all implemented operators as potential processing nodes&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo takes full advantage of Alida's features, hence, provides a framework for implementing image analysis algorithms allowing for automatic documentation and automatic user interface generation, and includes the graphical programming editor Grappa for user-friendly design of more complex processing pipelines.&lt;br /&gt;
&lt;br /&gt;
== Current release ==&lt;br /&gt;
You can download MiToBo version 1.3 [[Downloads | here]]. &amp;lt;br /&amp;gt;&lt;br /&gt;
You can find the API documentation for this release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].&amp;lt;br/&amp;gt;&lt;br /&gt;
Furthermore MiToBo offers you a user and programmer guide which you can download [http://www.informatik.uni-halle.de/mitobo/downloads/manual/MiToBoManual.pdf here].&lt;br /&gt;
&lt;br /&gt;
== Latest News ==&lt;br /&gt;
&lt;br /&gt;
=== January 2014 ===&lt;br /&gt;
* Version 1.3 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The project management of MiToBo switched to Maven, from now on you can download MiToBo releases from our [https://moon.informatik.uni-halle.de/archiva/browse/de.unihalle.informatik.MiToBo Maven server].&amp;lt;br&amp;gt; The new release ships with a new version of the ''[[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]'' and includes the first release of the ''SingleCellMigrationAnalyzer'',&amp;lt;br&amp;gt; a tool for cell tracking and migration analysis. In addition, in the MiToBo core several bugs were fixed, an illumination correction and a top-hat based contrast enhancement was added, especially for gray value bright filed images.&lt;br /&gt;
&lt;br /&gt;
=== May 2013 ===&lt;br /&gt;
* Version 1.2 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo now includes Alida 2.2.1 which comes with a new mechanism to save and load operator configurations based on XML Beans.&amp;lt;br&amp;gt;&lt;br /&gt;
Also Grappa has undergone some changes to improve usability, e.g. it now supports key shortcuts for the most important actions.&lt;br /&gt;
&lt;br /&gt;
=== March 2013 ===&lt;br /&gt;
* Version 1.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo has undergone several internal enhancements mainly dedicated to the stability and usability of the core and its user interfaces.&amp;lt;br&amp;gt;&lt;br /&gt;
In addition, MiToBo now includes the ''Neuron Analyzer'' which is an application for the analysis of 2D images of neuronal cells.&amp;lt;br&amp;gt;&lt;br /&gt;
The analyzer is capable of extracting complete regions of neuronal cells (not only traces) and allows for extraction of protein &lt;br /&gt;
concentrations along the neurites. &lt;br /&gt;
&lt;br /&gt;
=== October 2012 ===&lt;br /&gt;
* Version 1.0.5 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most important new feature is the graphical programming editor &amp;quot;Grappa&amp;quot; which is released in this new MiToBo version!&amp;lt;br&amp;gt;&lt;br /&gt;
The editor, although still in an early state, already provides a solid fundament for designing image analysis workflows in a graphical manner without need for programming.&amp;lt;br&amp;gt;&lt;br /&gt;
Grappa is available as plugin for ImageJ. Note that the editor will be presented in a talk at the '''ImageJ User &amp;amp; Developer Conference 2012'''.&amp;lt;br&amp;gt;&lt;br /&gt;
Besided the new editor other changes have mainly been done under the hood, e.g., online consistency checks within the graphical user interfaces have been integrated.&lt;br /&gt;
* Updated version of Chipory available for download.&lt;br /&gt;
&lt;br /&gt;
=== August 2012 ===&lt;br /&gt;
Some of the MiToBo developers will join the '''ImageJ User &amp;amp; Developer Conference 2012''' to be held at the end of October in Mondorf-les-Bains, Luxembourg.&amp;lt;br/&amp;gt;&lt;br /&gt;
In particular, two plugins for ImageJ implemented in MiToBo will be presented and demonstrated in posters:&lt;br /&gt;
&lt;br /&gt;
* B. Möller and D. Misiak, &amp;quot;SnakeOptimizer - Object Segmentation with Parametric Active Contours in ImageJ&amp;quot;&lt;br /&gt;
* M. Glaß, B. Möller and S. Posch, &amp;quot;Scratch Assay Analysis in ImageJ&amp;quot;&lt;br /&gt;
&lt;br /&gt;
We are looking forward to meet you in Mondorf-les-Bains!&lt;br /&gt;
&lt;br /&gt;
=== July 2012 - Release 1.0.1 ===&lt;br /&gt;
Version 1.0.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The new release ships with new quick start plugins for the SnakeOptimizer and ScratchAssayAnalyzer operators.&amp;lt;br/&amp;gt;&lt;br /&gt;
In addition a lot of bugs have been fixed in the core of Alida/MiToBo improving robustness and usability of the operators and their automatically generated user interfaces.&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
New release of chipory ready for download&lt;br /&gt;
&lt;br /&gt;
=== April 2012 ===&lt;br /&gt;
Version 1.0.0 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most interesting new features are:&lt;br /&gt;
&lt;br /&gt;
* automatic generation of graphical user interfaces for MiToBo operators&lt;br /&gt;
* a flexible generic tool for running operators via command line&lt;br /&gt;
* operators performing level set segmentation on images&lt;br /&gt;
* support for saving/loading parameter settings from GUI&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
== News Archive ==&lt;br /&gt;
The news archive can be found [[News Archive | here]].&lt;br /&gt;
&lt;br /&gt;
== Licensing information ==&lt;br /&gt;
MiToBo is free software: you can redistribute it and/or modify under the terms of the [http://www.gnu.org/licenses/gpl-3.0.html GNU General Public License version 3] or (at your option) any later version as published by the [http://www.fsf.org/ Free Software Foundation].&lt;br /&gt;
&lt;br /&gt;
== Bug reports &amp;amp; Feature requests ==&lt;br /&gt;
Bug reports and feature requests can be submitted via the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/bug_report_page.php MiToBo bugtracking system] or by mail to [mailto:mitobo@informatik.uni-halle.de mitobo@informatik.uni-halle.de].&amp;lt;br /&amp;gt;&lt;br /&gt;
Before reporting a new bug, please check if that bug has already been submitted in the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/view_all_bug_page.php report list].&amp;lt;br /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=407</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=407"/>
		<updated>2014-02-03T12:52:06Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Updates */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
----&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''February 2014''' (since MiToBo version [[Downloads | 1.3]])&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=406</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=406"/>
		<updated>2014-02-03T12:51:50Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Updates */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
----&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Februar 2014''' (since MiToBo version [[Downloads | 1.3]])&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=405</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=405"/>
		<updated>2014-02-03T12:49:12Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Updates ===&lt;br /&gt;
&lt;br /&gt;
'''Since MiToBo version [[Downloads | 1.3]]'''&lt;br /&gt;
* Bugfix in neurite skeleton graph&lt;br /&gt;
* SWC files for single neurites are now generated and stored&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=404</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Main_Page&amp;diff=404"/>
		<updated>2014-02-03T12:15:00Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* January 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== MiToBo - A &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;m&amp;lt;/span&amp;gt;icroscope &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;i&amp;lt;/span&amp;gt;mage analysis &amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;to&amp;lt;/span&amp;gt;ol&amp;lt;span style=&amp;quot;color:#CC0000&amp;quot;&amp;gt;bo&amp;lt;/span&amp;gt;x== &lt;br /&gt;
The Microscope Image Analysis Toolbox MiToBo is an extension for the widely used image processing application [http://rsbweb.nih.gov/ij/ ImageJ] and its new release [http://developer.imagej.net/ ImageJ 2.0].&amp;lt;br /&amp;gt; &lt;br /&gt;
MiToBo ships with a set of operators ready to be used as plugins in ImageJ. They focus on the analysis of biomedical images acquired by various &lt;br /&gt;
types of microscopes.&amp;lt;br /&amp;gt;&lt;br /&gt;
Some of MiToBo's operators are for example these ones:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; ''Scratch Assay Analyzer'' for analyzing microscope images from cell migration experiments&lt;br /&gt;
&amp;lt;li&amp;gt; ''Neuron Analyzer'' for the segmentation of neurons in microscope images&lt;br /&gt;
&amp;lt;li&amp;gt; ''Snake Optimizer'' for performing image segmentation based on explicit active contours&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Furthermore, MiToBo offers a user- and programmer friendly framework for developing algorithms that have properties not available in ImageJ, &amp;lt;br /&amp;gt;&lt;br /&gt;
however, still provides full compatibility to all ImageJ features. &amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo completely separates the implementation of image processing algorithms from potential user interfaces.&amp;lt;br /&amp;gt; &lt;br /&gt;
Moreover, MiToBo builds on top of [http://www.informatik.uni-halle.de/alida/ Alida] which is a library for easing the development of data analysis&lt;br /&gt;
algorithms and tools.&amp;lt;br&amp;gt; The main concept of Alida are operators as the core units for implementing data analysis algorithms. &amp;lt;br /&amp;gt;&lt;br /&gt;
Alida defines unified interfaces and execution procedures for operators which yield the fundament for its nice features like &lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; automatic documentation of complete analysis processes, e.g., leading from an input image to analysis results, in terms of processing graphs&lt;br /&gt;
&amp;lt;li&amp;gt; automatic generation of commandline and graphical user interfaces&lt;br /&gt;
&amp;lt;li&amp;gt; a graphical programming editor named '''''Grappa''''' automatically considering all implemented operators as potential processing nodes&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
MiToBo takes full advantage of Alida's features, hence, provides a framework for implementing image analysis algorithms allowing for automatic documentation and automatic user interface generation, and includes the graphical programming editor Grappa for user-friendly design of more complex processing pipelines.&lt;br /&gt;
&lt;br /&gt;
== Current release ==&lt;br /&gt;
You can download MiToBo version 1.3 [[Downloads | here]]. &amp;lt;br /&amp;gt;&lt;br /&gt;
You can find the API documentation for this release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].&amp;lt;br/&amp;gt;&lt;br /&gt;
Furthermore MiToBo offers you a user and programmer guide which you can download [http://www.informatik.uni-halle.de/mitobo/downloads/manual/MiToBoManual.pdf here].&lt;br /&gt;
&lt;br /&gt;
== Latest News ==&lt;br /&gt;
&lt;br /&gt;
=== January 2014 ===&lt;br /&gt;
* Version 1.3 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The project management of MiToBo switched to Maven, from now on you can download MiToBo releases from our [https://moon.informatik.uni-halle.de/archiva/browse/de.unihalle.informatik.MiToBo Maven server].&amp;lt;br&amp;gt; The new release ships with a new version of the ''[[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]'' and includes the first release of the ''SingleCellMigrationAnalyzer'',&amp;lt;br&amp;gt; a tool for cell tracking and migration analysis. In addition, in the MiToBo core several bugs were fixed.&lt;br /&gt;
&lt;br /&gt;
=== May 2013 ===&lt;br /&gt;
* Version 1.2 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo now includes Alida 2.2.1 which comes with a new mechanism to save and load operator configurations based on XML Beans.&amp;lt;br&amp;gt;&lt;br /&gt;
Also Grappa has undergone some changes to improve usability, e.g. it now supports key shortcuts for the most important actions.&lt;br /&gt;
&lt;br /&gt;
=== March 2013 ===&lt;br /&gt;
* Version 1.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
MiToBo has undergone several internal enhancements mainly dedicated to the stability and usability of the core and its user interfaces.&amp;lt;br&amp;gt;&lt;br /&gt;
In addition, MiToBo now includes the ''Neuron Analyzer'' which is an application for the analysis of 2D images of neuronal cells.&amp;lt;br&amp;gt;&lt;br /&gt;
The analyzer is capable of extracting complete regions of neuronal cells (not only traces) and allows for extraction of protein &lt;br /&gt;
concentrations along the neurites. &lt;br /&gt;
&lt;br /&gt;
=== October 2012 ===&lt;br /&gt;
* Version 1.0.5 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most important new feature is the graphical programming editor &amp;quot;Grappa&amp;quot; which is released in this new MiToBo version!&amp;lt;br&amp;gt;&lt;br /&gt;
The editor, although still in an early state, already provides a solid fundament for designing image analysis workflows in a graphical manner without need for programming.&amp;lt;br&amp;gt;&lt;br /&gt;
Grappa is available as plugin for ImageJ. Note that the editor will be presented in a talk at the '''ImageJ User &amp;amp; Developer Conference 2012'''.&amp;lt;br&amp;gt;&lt;br /&gt;
Besided the new editor other changes have mainly been done under the hood, e.g., online consistency checks within the graphical user interfaces have been integrated.&lt;br /&gt;
* Updated version of Chipory available for download.&lt;br /&gt;
&lt;br /&gt;
=== August 2012 ===&lt;br /&gt;
Some of the MiToBo developers will join the '''ImageJ User &amp;amp; Developer Conference 2012''' to be held at the end of October in Mondorf-les-Bains, Luxembourg.&amp;lt;br/&amp;gt;&lt;br /&gt;
In particular, two plugins for ImageJ implemented in MiToBo will be presented and demonstrated in posters:&lt;br /&gt;
&lt;br /&gt;
* B. Möller and D. Misiak, &amp;quot;SnakeOptimizer - Object Segmentation with Parametric Active Contours in ImageJ&amp;quot;&lt;br /&gt;
* M. Glaß, B. Möller and S. Posch, &amp;quot;Scratch Assay Analysis in ImageJ&amp;quot;&lt;br /&gt;
&lt;br /&gt;
We are looking forward to meet you in Mondorf-les-Bains!&lt;br /&gt;
&lt;br /&gt;
=== July 2012 - Release 1.0.1 ===&lt;br /&gt;
Version 1.0.1 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
The new release ships with new quick start plugins for the SnakeOptimizer and ScratchAssayAnalyzer operators.&amp;lt;br/&amp;gt;&lt;br /&gt;
In addition a lot of bugs have been fixed in the core of Alida/MiToBo improving robustness and usability of the operators and their automatically generated user interfaces.&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
New release of chipory ready for download&lt;br /&gt;
&lt;br /&gt;
=== April 2012 ===&lt;br /&gt;
Version 1.0.0 of MiToBo has been released. &amp;lt;br/&amp;gt;&lt;br /&gt;
Most interesting new features are:&lt;br /&gt;
&lt;br /&gt;
* automatic generation of graphical user interfaces for MiToBo operators&lt;br /&gt;
* a flexible generic tool for running operators via command line&lt;br /&gt;
* operators performing level set segmentation on images&lt;br /&gt;
* support for saving/loading parameter settings from GUI&lt;br /&gt;
&lt;br /&gt;
Check the [[Downloads | download page]] for jars and sources.&lt;br /&gt;
&lt;br /&gt;
== News Archive ==&lt;br /&gt;
The news archive can be found [[News Archive | here]].&lt;br /&gt;
&lt;br /&gt;
== Licensing information ==&lt;br /&gt;
MiToBo is free software: you can redistribute it and/or modify under the terms of the [http://www.gnu.org/licenses/gpl-3.0.html GNU General Public License version 3] or (at your option) any later version as published by the [http://www.fsf.org/ Free Software Foundation].&lt;br /&gt;
&lt;br /&gt;
== Bug reports &amp;amp; Feature requests ==&lt;br /&gt;
Bug reports and feature requests can be submitted via the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/bug_report_page.php MiToBo bugtracking system] or by mail to [mailto:mitobo@informatik.uni-halle.de mitobo@informatik.uni-halle.de].&amp;lt;br /&amp;gt;&lt;br /&gt;
Before reporting a new bug, please check if that bug has already been submitted in the [http://www2.informatik.uni-halle.de/agprbio/mitobo-bts/view_all_bug_page.php report list].&amp;lt;br /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=403</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=403"/>
		<updated>2014-02-03T09:32:27Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
'''Published in:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
''D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Extraction of protein profiles from primary neurons using active contour models and wavelets&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/ScratchAssayAnalyzer&amp;diff=396</id>
		<title>Applications/ScratchAssayAnalyzer</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/ScratchAssayAnalyzer&amp;diff=396"/>
		<updated>2014-01-31T10:52:33Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Scratch assay analysis */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=395</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=395"/>
		<updated>2014-01-31T10:52:15Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/MiCa&amp;diff=394</id>
		<title>Applications/MiCa</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/MiCa&amp;diff=394"/>
		<updated>2014-01-31T10:51:44Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* MiCA - MiToBo Cell Image Analyzer */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=393</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=393"/>
		<updated>2014-01-31T10:49:54Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Applications/MiCa | MiCA - MiToBo Cell Image Analyzer]]&amp;lt;br/&amp;gt;&lt;br /&gt;
[[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]&amp;lt;br/&amp;gt;&lt;br /&gt;
[[Applications/ScratchAssayAnalysis | Scratch assay analysis]]&amp;lt;br/&amp;gt;&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/ScratchAssayAnalyzer&amp;diff=392</id>
		<title>Applications/ScratchAssayAnalyzer</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/ScratchAssayAnalyzer&amp;diff=392"/>
		<updated>2014-01-31T10:49:50Z</updated>

		<summary type="html">&lt;p&gt;Misiak: Created page with &amp;quot;== Scratch assay analysis ==  published in&amp;lt;br/&amp;gt; ''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt; '''&amp;quot;Scratch Assay Analysis with Topology-preser...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/MiCa&amp;diff=391</id>
		<title>Applications/MiCa</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/MiCa&amp;diff=391"/>
		<updated>2014-01-31T10:49:11Z</updated>

		<summary type="html">&lt;p&gt;Misiak: Created page with &amp;quot;== MiCA - MiToBo Cell Image Analyzer ==  presented at&amp;lt;br/&amp;gt; ''B. Möller and S. Posch,&amp;lt;br/&amp;gt; '''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt; Workshop on Micros...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=390</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=390"/>
		<updated>2014-01-31T10:43:58Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
[[NeuronAnalyzer2D]]&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=389</id>
		<title>Applications/NeuronAnalyzer2D</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications/NeuronAnalyzer2D&amp;diff=389"/>
		<updated>2014-01-31T10:42:20Z</updated>

		<summary type="html">&lt;p&gt;Misiak: Created page with &amp;quot;== Neuron Analyzer 2D ==  The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. link=  '''Name of Plugin/Operator:'''&amp;lt;b...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=388</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=388"/>
		<updated>2013-12-11T12:48:35Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron example images]&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=387</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=387"/>
		<updated>2013-12-11T12:47:37Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/neuron_examples.zip Neuron images]&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=386</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=386"/>
		<updated>2013-12-05T13:23:18Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&amp;lt;br/&amp;gt;&lt;br /&gt;
Current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
...will be available soon&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=385</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=385"/>
		<updated>2013-12-05T13:21:57Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
# current version of ''Neuron Analyzer 2D'' uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
...will be available soon&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=384</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=384"/>
		<updated>2013-12-05T13:19:16Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
# libjri.so must be in the LD_LIBRARY_PATH&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
...will be available soon&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.''&lt;br /&gt;
&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=376</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=376"/>
		<updated>2013-03-28T10:20:02Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Scratch assay analysis */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
...will be available soon&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssayAnalyzer (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=375</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=375"/>
		<updated>2013-03-28T10:18:30Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Neuron Analyzer 2D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin/Operator:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
...will be available soon&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssay_Analysis (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=374</id>
		<title>Applications</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Applications&amp;diff=374"/>
		<updated>2013-03-03T11:59:13Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Several image processing pipelines have already been developed in MiToBo. &amp;lt;br/&amp;gt;&lt;br /&gt;
Below you can find selected example applications, some of them have been published already.&lt;br /&gt;
&lt;br /&gt;
== Neuron Analyzer 2D ==&lt;br /&gt;
&lt;br /&gt;
The ''Neuron Analyzer 2D'' is available since release version 1.1 of MiToBo. [[File:NeuronAnalyzer2D.png|right|link=]]&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
NeuronAnalyzer_2D (since MiToBo version 1.1)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Neuron boundary detection based on active contours&lt;br /&gt;
* Identification of structural neuron parts, like soma, neurites and growth cones&lt;br /&gt;
* Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc. &lt;br /&gt;
* Extraction of molecular profiles from fluorescently labeld molecules&lt;br /&gt;
* Detection of molecular particles, for example FISH data&lt;br /&gt;
&lt;br /&gt;
'''Installation:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The R software environment (http://www.r-project.org/) must be installed to use the ''Neuron Analyzer 2D''.&amp;lt;br/&amp;gt;&lt;br /&gt;
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:&lt;br /&gt;
&lt;br /&gt;
# export R_HOME=&amp;quot;/usr/lib/R&amp;quot; # path to your R installation&lt;br /&gt;
# export R_SCRIPTS=&amp;quot;/path/to/ImageJ/share/scripts/R&amp;quot; # path to the R scripts, shipped with MiToBo zip file&lt;br /&gt;
&lt;br /&gt;
To save these variables permanently, copy the commands above to your local .bashrc file.&lt;br /&gt;
&lt;br /&gt;
'''Note:''' The application is currently only available on Linux OS.&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
...will be available soon&lt;br /&gt;
&lt;br /&gt;
== Scratch assay analysis ==&lt;br /&gt;
&lt;br /&gt;
published in&amp;lt;br/&amp;gt;&lt;br /&gt;
''M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.'' &lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
ScratchAssay_Analysis (since MiToBo version 0.9.5)&lt;br /&gt;
&lt;br /&gt;
'''Description:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Quantifies the scratch area in monolayer cell culture images with levelset techniques&lt;br /&gt;
* Combines the results from images of different time points in a results table&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Example images'''&amp;lt;br/&amp;gt;&lt;br /&gt;
[http://www.informatik.uni-halle.de/mitobo/downloads/scratch_examples.zip Scratch assay images]&lt;br /&gt;
&lt;br /&gt;
== MiCA - MiToBo Cell Image Analyzer ==&lt;br /&gt;
&lt;br /&gt;
presented at&amp;lt;br/&amp;gt;&lt;br /&gt;
''B. Möller and S. Posch,&amp;lt;br/&amp;gt;&lt;br /&gt;
'''&amp;quot;MiCA - Easy Cell Image Analysis with Normalized Snakes&amp;quot;'''.&amp;lt;br/&amp;gt;&lt;br /&gt;
Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB '11), Heidelberg, Germany, September 2011.''&lt;br /&gt;
&lt;br /&gt;
'''Name of Plugin:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
CellImageAnalyzer_2D (since MiToBo version 0.9.6)&lt;br /&gt;
&lt;br /&gt;
'''Main features:'''&amp;lt;br/&amp;gt;&lt;br /&gt;
* Integrated analysis of multi-channel microscope images of cells&lt;br /&gt;
* Allows for segmentation of cells, nuclei and sub-cellular structures&lt;br /&gt;
* Techniques subsume active contours, wavelets, morphological operators, and others&lt;br /&gt;
* Visualization and quantitative summary of segmentation results&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=366</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=366"/>
		<updated>2013-02-28T13:02:48Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* 64-Bit architecture */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Irrespective of which way you intend to go the first thing to is always to download the binary zip file containing the current release of MiToBo.&amp;lt;br&amp;gt; The actual installation instructions differ in some parts depending on which way you choose.&amp;lt;br&amp;gt; Below we will first provide some notes regarding the binary zip file, and then outline more details about the installation steps required&lt;br /&gt;
for simply using MiToBo's operators. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\plugins\''' directory&lt;br /&gt;
#* copy the ''Mi_To_Bo.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''MiToBo-bin\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''MiToBo-bin\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory and architecture.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=365</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=365"/>
		<updated>2013-02-28T13:01:18Z</updated>

		<summary type="html">&lt;p&gt;Misiak: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Irrespective of which way you intend to go the first thing to is always to download the binary zip file containing the current release of MiToBo.&amp;lt;br&amp;gt; The actual installation instructions differ in some parts depending on which way you choose.&amp;lt;br&amp;gt; Below we will first provide some notes regarding the binary zip file, and then outline more details about the installation steps required&lt;br /&gt;
for simply using MiToBo's operators. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\plugins\''' directory&lt;br /&gt;
#* copy the ''Mi_To_Bo.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''MiToBo-bin\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''MiToBo-bin\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
	<entry>
		<id>https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=364</id>
		<title>Installation</title>
		<link rel="alternate" type="text/html" href="https://mitobo.informatik.uni-halle.de/index.php?title=Installation&amp;diff=364"/>
		<updated>2013-02-28T12:59:50Z</updated>

		<summary type="html">&lt;p&gt;Misiak: /* Native libraries */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== General remarks ==&lt;br /&gt;
&lt;br /&gt;
There are two common ways to work with MiToBo:&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; just using the operators included in MiToBo for improving your work and easing image processing tasks&lt;br /&gt;
&amp;lt;li&amp;gt; using the MiToBo API to write operators, plugins and other image analysis applications on your own&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Irrespective of which way you intend to go the first thing to is always to download the binary zip file containing the current release of MiToBo.&amp;lt;br&amp;gt; The actual installation instructions differ in some parts depending on which way you choose.&amp;lt;br&amp;gt; Below we will first provide some notes regarding the binary zip file, and then outline more details about the installation steps required&lt;br /&gt;
for simply using MiToBo's operators. Finally we will present some details for using MiToBo's API with your own code.&lt;br /&gt;
&lt;br /&gt;
== The [[downloads|MiToBo Binary]] Zip File ==&lt;br /&gt;
&lt;br /&gt;
To get the current release of MiToBo download and extract the [[downloads|MiToBo Binary zip file]].&amp;lt;br&amp;gt; You will find the following structure of directories and files:&lt;br /&gt;
* lib - includes nesessary libaries for Linux and Windows&lt;br /&gt;
* licences - includes MiToBo license and licences for other software used by MiToBo&lt;br /&gt;
* macros - includes the MiToBo macro toolset&lt;br /&gt;
* plugins - includes MiToBo jar and other jars used by MiToBo&lt;br /&gt;
* testimages - some sample images&lt;br /&gt;
* ''MiToBo-Guide-1.0.pdf'' - the user and programmer guide for MiToBo&lt;br /&gt;
* ''oprunner.sh'' - shell script to run MiToBo operators from commandline (Linux only)&lt;br /&gt;
* ''run.sh'' - shell script to run ImageJ with MiToBo (Linux only)&lt;br /&gt;
* ''README'' - with basic information&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo with ImageJ ==&lt;br /&gt;
&lt;br /&gt;
'''Important Note:''' These instructions refer to ImageJ 1 only, instructions for ImageJ 2.0 will follow soon.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Linux ===&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo as shipped ====&lt;br /&gt;
Extract the zip file to a directory of your choice.&amp;lt;br&amp;gt;&lt;br /&gt;
You can use MiToBo right away using the ''run.sh'' and ''oprunner.sh'' scripts.&amp;lt;br&amp;gt;&lt;br /&gt;
Make sure that they have the 'x'-bit set before executing the scripts, i.e. do 'chmod u+x run.sh' and 'chmod u+x oprunner.sh' first.&amp;lt;br&amp;gt;&lt;br /&gt;
If an '''UnsatisfiedLinkError''' occurs, please read the '''Native libraries''' section below.&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
To use MiToBo with an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# copy the ''Mi_To_Bo.jar'' to be found in the 'plugins/' folder of the MiToBo zip-file to your 'ImageJ/plugins/' directory&lt;br /&gt;
# copy all jars in 'plugins/jars/' of the MiToBo zip-file to your 'ImageJ/plugins/jars/' &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and any jars already existing in your 'ImageJ/plugins/jars/' directory&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicit versions of some jars, other versions may not work properly, see [[downloads|requirements]].)&lt;br /&gt;
# copy the ''MiToBo_Runner.txt'' from the 'macros/toolsets/' directory in the MiToBo zip-file to your 'ImageJ/macros/toolsets/' directory;&amp;lt;br&amp;gt; then you can select the MiToBo toolset from the list of available sets by clicking on the arrows button on the right side of the ImageJ standard toolbar&lt;br /&gt;
# Make the native libraries in lib/ of the MiToBo zip-file available to Java (see the '''Native libraries''' section below)&lt;br /&gt;
&lt;br /&gt;
You can still use the ''run.sh'' and ''oprunner.sh'' scripts if you copy them to your 'ImageJ/' directory.&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip-file provides precompiled JNI-libraries for 32- (lib/lib32) and 64-Bit (lib/lib64) Linux systems.&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries appropriate for your system to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* The ''run.sh'' and ''oprunner.sh'' scripts both add the 'lib/lib32' or 'lib/lib64' directory (depending on your architecture)&amp;lt;br&amp;gt; to the LD_LIBRARY_PATH, thus, you do not have to configure the LD_LIBRARY_PATH manually.&lt;br /&gt;
* If you run ImageJ with MiToBo or the OpRunner in another way, the directories of native libraries can be passed to Java in any of the following two ways:&lt;br /&gt;
:* The LD_LIBRARY_PATH environment variable must contain the path to the native libraries used&lt;br /&gt;
:* The call to Java has to be augmented with an option to tell where native libraries reside:&lt;br /&gt;
   java -Djava.library.path=/path/to/libs1:/path/to/libs2[:...] ...&lt;br /&gt;
::  For example, you can run ImageJ with MiToBo on a 32-Bit system with the unzipped MiToBo structure, but not the ''run.sh'' script, with the following command:&lt;br /&gt;
   java -Djava.library.path=lib/lib32:/usr/lib -cp plugins/jars/ij.jar ij.ImageJ&lt;br /&gt;
:Configuring the LD_LIBRARY_PATH and running java with the -Djava.library.path option are equivalent.&lt;br /&gt;
&lt;br /&gt;
* '''Building of MiToBo's native libraries:'''&lt;br /&gt;
: MiToBo ships with precompiled native libraries for 32- and 64-Bit Linux. If you encounter problems with the Linux libraries you might try to compile MiToBo's native libraries by yourself:&lt;br /&gt;
: 1. Download the zip file containing the sources of MiToBo and unpack the file to a directory of your choice.&lt;br /&gt;
: 2. Go to the 'native/export' directory in MiToBo's directory structure.&lt;br /&gt;
: 3. Edit ''Makefile.rules'' if necessary (defaults are predefined):&lt;br /&gt;
::* Set the variable MITOBO_HOME which should point to your MiToBo installation directory.&lt;br /&gt;
::* Set the path to your java installation which includes the JNI-header files.&lt;br /&gt;
::* Set the path to the CGAL libraries.&lt;br /&gt;
::* Set the path to the CGAL headers.&lt;br /&gt;
: 4. Run ''make install'', which will build MiToBo's native libraries for your architecture and move them into the lib/lib32 or lib/lib64 directory. Note that this will overwrite the libraries in 'lib/lib32' and 'lib/lib64', respectively.&lt;br /&gt;
&lt;br /&gt;
:Note that when using these libraries also the CGAL libraries have to be available on the LD_LIBRARY_PATH upon execution of MiToBo operators.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Windows ===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ImageJ directory path depends on your ImageJ installation. Following, we assume that the ImageJ home directory is set up to ''C:\Program Files\ImageJ\''.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Use MiToBo with an existing ImageJ installation ====&lt;br /&gt;
&lt;br /&gt;
For installing MiToBo into an existing ImageJ installation perform the following steps:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\plugins\''' directory&lt;br /&gt;
#* copy the ''Mi_To_Bo.jar'' to your ''..\ImageJ\plugins\'' directory&lt;br /&gt;
#* copy all jars from ''MiToBo-bin\plugins\jars\'' to your ''..\ImageJ\plugins\jars\'' directory &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;except&amp;lt;/span&amp;gt; the ij.jar and jars already existing&amp;lt;br/&amp;gt;('''Notice:''' MiToBo requires explicite versions of some jars, other versions may not work probably, see [[downloads|requirements]].)&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# go to the '''MiToBo-bin\macros\toolsets\''' directory&lt;br /&gt;
#* copy the ''MiToBo_Runner.txt'' to your ''..\ImageJ\macros\toolsets\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== Native libraries ====&lt;br /&gt;
&lt;br /&gt;
Some operators of MiToBo use native code via the Java Native Interface (JNI).&amp;lt;br&amp;gt;&lt;br /&gt;
The 'lib/' directory in the zip-file provides precompiled JNI-libraries for 32-Bit (lib/libwin32) Windows systems.&amp;lt;br&amp;gt;&lt;br /&gt;
At the moment, JNI-libraries for Windows are only available for 32-Bit architectures, but can also be used with an 64-Bit architecture (see below).&amp;lt;br&amp;gt;&lt;br /&gt;
For using the native code add the libraries to the library path. &amp;lt;br&amp;gt;&lt;br /&gt;
The path to the native libraries must be available to any java application which uses MiToBo operators that depend on these libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;32-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files\ImageJ\&lt;br /&gt;
    C:\Program Files\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   java -Djava.library.path=&amp;quot;C:\Program Files\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
===== &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;64-Bit architecture&amp;lt;/span&amp;gt; =====&lt;br /&gt;
&lt;br /&gt;
Using a 64-Bit architecture &amp;lt;span style=&amp;quot;text-decoration: underline;&amp;quot;&amp;gt;requires a 32-Bit Java&amp;lt;/span&amp;gt; installed on the system to use the 32-Bit JNI-libraries.&amp;lt;br&amp;gt;&lt;br /&gt;
Perform the following steps to run MiToBo on a 64-Bit architecture:&lt;br /&gt;
&lt;br /&gt;
# go to the '''MiToBo-bin\lib\''' directory&lt;br /&gt;
#* copy the ''libwin32'' directory to your ''..\ImageJ\'' directory&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
# configurate your ImageJ startup&lt;br /&gt;
#* edit ImageJ configuration file ''..\ImageJ\ImageJ.cfg'' and add the library path&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;'''-Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot;'''&amp;lt;br/&amp;gt;&amp;lt;br/&amp;gt;Example of an ImageJ.cfg file:&lt;br /&gt;
    C:\Program Files (x86)\ImageJ\&lt;br /&gt;
    C:\Program Files (x86)\Java\jre6\bin\javaw.exe&lt;br /&gt;
    -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
::* as an alternative you can start ImageJ from command line&lt;br /&gt;
:::* open your Windows command line&lt;br /&gt;
:::* move to the ''..\ImageJ\'' directoy&lt;br /&gt;
:::* type the following command:&lt;br /&gt;
   C:\Program Files (x86)\Java\jre6\bin\javaw.exe -Djava.library.path=&amp;quot;C:\Program Files (x86)\ImageJ\libwin32&amp;quot; -Xmx1024m -cp &amp;quot;C:\Program Files (x86)\ImageJ\ij.jar&amp;quot; ij.ImageJ&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br/&amp;gt;'''Notice:''' The ''-Xmx1024m'' variable sets the maximum memory heap size of Java to 1024 MB. This value can be increased, depending on your installed system memory.&amp;lt;br\&amp;gt;&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Using MiToBo's APIs ==&lt;br /&gt;
To use the API of MiToBo and benefit from MiToBo's functionality in your own code you just need to make the jar archive to be found in the zip file available on your classpath. In addition, make sure that all jar archives MiToBo depends on and which are listed on the [[downloads|Download page]] are also in your classpath.&amp;lt;br&amp;gt; Note that the jars are also included in the MiToBo's binary zip file, thus, you don't need to download them manually.&lt;/div&gt;</summary>
		<author><name>Misiak</name></author>
	</entry>
</feed>