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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.
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.
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'''Visit MiToBo also at...'''<br>
{|
|style="text-align:center;width:10%"|[[file:Imagej-128.png|90px|link=http://imagej.net/MiToBo]]
|style="text-align:center;width:10%"|[[file:logo.png|90px|link=http://imagejdocu.tudor.lu/doku.php?id=plugin:collections:mitobo_-_a_microscope_image_analysis_toolbox:start]]
|style="text-align:center;width:10%"|[[file:logo-blue.png|90px|link=https://omictools.com/microscope-image-analysis-toolbox-tool]]
|style="text-align:center;width:10%"|[[file:Git.png|90px|link=https://github.com/mitobo-hub]]
|-
|style="text-align:center;width:10%"|[http://imagej.net/MiToBo ImageJ.net]
|style="text-align:center;width:10%"|[http://imagejdocu.tudor.lu/doku.php?id=plugin:collections:mitobo_-_a_microscope_image_analysis_toolbox:start ImageJ Docu Wiki]
|style="text-align:center;width:10%"|[https://omictools.com/microscope-image-analysis-toolbox-tool OMIC Tools]
|style="text-align:center;width:10%"|[https://github.com/mitobo-hub GitHub]
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'''How to get MiToBo?'''<br>
'''How to get MiToBo?'''<br>
* ImageJ-Users:<br> download the [https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.7/mitobo-plugins-1.7-bin.zip MiToBo-Plugins package] and follow the installation instructions to be found [[Installation | here]].  
* ImageJ-Users:<br> download the [https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.8.3/mitobo-plugins-1.8.3-bin.zip MiToBo-Plugins package] and follow the installation instructions to be found [[Installation | here]].  
* Fiji-Users:<br> simply add MiToBo's update site [http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo] to your Fiji installation
* Fiji-Users:<br> simply add MiToBo's update site [http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo] to your Fiji installation
* use in general:<br> you can download MiToBo 1.7 and the MiToBo plugins package [[Downloads | here]]. <br/>  
* use in general:<br> you can download MiToBo and the MiToBo plugins package [[Downloads | here]]. <br/>  


You can find the API documentation for this release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].<br/>  
You can find the API documentation for this release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].<br/>  
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'''Latest News'''<br>
'''Latest News'''<br>
* 09/2015: MiToBo 1.7 has been released. The new version mainly fixes some bugs in the graphical user interface. MiToBo 1.7 is available via Fiji, from our Maven server and on Zenodo.
* 09/2017: MiToBo and MiToBo-Plugins 1.8.6 have been released! The new release includes [[Applications/PaCeQuant | PaCeQuant ]], our new tool for high-throughput quantification of pavement cell shape.
* 06/2015: MiToBo is now available via a Fiji update site: [http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo].<br> To enable the site in your Fiji installation refer to the [http://fiji.sc/How_to_follow_a_3rd_party_update_site Fiji documentation]. <br>
* 03/2017: MiToBo 1.8.5 and MiToBo-Plugins 1.8.4 have been released.
* 06/2015: Version 1.5 of MiToBo has been released<br/> This release ships with the new [[Applications/MTBCellCounter | MTB Cell Counter]] plugin for semi-automatic segmentation and annotation of cell images. Details about the plugin (derived from the [http://fiji.sc/Cell_Counter CellCounter plugin] written by Kurt de Vos) can be found on the [[Applications/MTBCellCounter | MTB Cell Counter wikipage]].
* 12/2016: MiToBo 1.8.4 and MiToBo-Plugins 1.8.3 have been released.<br> Also MiToBo's update site in Fiji now offers version 1.8.3.<br> Note that this requires the Java-8 update site to be activated as well.


The news archive can be found [[News Archive | here]].
The news archive can be found [[News Archive | here]].
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'''Bug reports & Feature requests'''<br>
'''Bug reports & Feature requests'''<br>
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].<br />
Bug reports and feature requests can be submitted as issues on [https://github.com/mitobo-hub/mitobo/issues Github] or by mail to [mailto:mitobo@informatik.uni-halle.de mitobo@informatik.uni-halle.de]. Before reporting a new bug or requesting a new feature, please check if that bug has already been submitted.
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].
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Revision as of 14:16, 22 September 2017

MiToBo - A microscope image analysis toolbox

What is MiToBo?
The Microscope Image Analysis Toolbox MiToBo is an extension for the widely used image processing application ImageJ and its new release ImageJ 2.0.
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 types of microscopes.
Some of MiToBo's operators are for example these ones:

  • ActinAnalyzer for the quantification of actin filament structures in microscopy images
  • Cell Migration Analyzer for analyzing single cell migration from time lapse image sequences
  • Neuron Analyzer for the segmentation of neurons in microscope images
  • Scratch Assay Analyzer for analyzing microscope images from collective cell migration experiments
  • Snake Optimizer for performing image segmentation based on explicit active contours

Furthermore, MiToBo offers a user- and programmer friendly framework for developing algorithms that have properties not available in ImageJ,
however, still provides full compatibility to all ImageJ features.

MiToBo completely separates the implementation of image processing algorithms from potential user interfaces.
Moreover, MiToBo builds on top of Alida which is a library for easing the development of data analysis algorithms and tools.
The main concept of Alida are operators as the core units for implementing data analysis algorithms.
Alida defines unified interfaces and execution procedures for operators which yield the fundament for its nice features like

  • automatic documentation of complete analysis processes, e.g., leading from an input image to analysis results, in terms of processing graphs
  • automatic generation of commandline and graphical user interfaces
  • a graphical programming editor named Grappa automatically considering all implemented operators as potential processing nodes

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.


Visit MiToBo also at...

Imagej-128.png Logo.png Logo-blue.png Git.png
ImageJ.net ImageJ Docu Wiki OMIC Tools GitHub

How to get MiToBo?

You can find the API documentation for this release here.
Furthermore MiToBo offers you a user and programmer guide
which you can download here.


Latest News

  • 09/2017: MiToBo and MiToBo-Plugins 1.8.6 have been released! The new release includes PaCeQuant , our new tool for high-throughput quantification of pavement cell shape.
  • 03/2017: MiToBo 1.8.5 and MiToBo-Plugins 1.8.4 have been released.
  • 12/2016: MiToBo 1.8.4 and MiToBo-Plugins 1.8.3 have been released.
    Also MiToBo's update site in Fiji now offers version 1.8.3.
    Note that this requires the Java-8 update site to be activated as well.

The news archive can be found here.


Licensing information
MiToBo is free software: you can redistribute it and/or modify under the terms of the GNU General Public License version 3 or (at your option) any later version as published by the Free Software Foundation.


Bug reports & Feature requests
Bug reports and feature requests can be submitted as issues on Github or by mail to mitobo@informatik.uni-halle.de. Before reporting a new bug or requesting a new feature, please check if that bug has already been submitted.