MediaWiki API result
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"*": "= MiToBo - A <span style=\"color:#CC0000\">m</span>icroscope <span style=\"color:#CC0000\">i</span>mage analysis <span style=\"color:#CC0000\">to</span>ol<span style=\"color:#CC0000\">bo</span>x =\n\n{|width=\"100%\"\n |-\n |style=\"vertical-align:top\" |\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''What is MiToBo?'''<br>\nThe Microscope Image Analysis Toolbox MiToBo is a toolbox with a large collection of basic and advanced functions and algorithms for processing and analyzing digital images. Many tools in MiToBo target at the analysis of various kinds of microscopy data, however, most of the functionality within MiToBo is generic (see [[Features|page of features]] for an overview). MiToBo is implemented as extension for the widely used image processing application [http://rsbweb.nih.gov/ij/ ImageJ]/[https://fiji.sc/ Fiji] and its new release [http://developer.imagej.net/ ImageJ 2.0]. All functions, operators and plugins of MiToBo are ready to be directly used as plugins in ImageJ and Fiji.<br /><br/>\n\n'''Highlight operators and tools in MiToBo'''\n{|style=\"background-color:#f8f8ff\"\n|style=\"text-align:left;width:10%|[[File:MiToBo_logo_CytoskeletonAnalyzer2D.png|border|72px|left|link=http://mitobo.informatik.uni-halle.de/index.php/Applications/CytoskeletonAnalyzer2D]]\n|style=\"text-align:left;width:80%|'''''[[Applications/CytoskeletonAnalyzer2D|CytoskeletonAnalyzer2D]]''''' for the quantification of cytoskeleton structural patterns in microscopy images with texture measures;<br>\nto ease cell boundary extraction in data preparation we additionally provide the '''''[[Applications/CellBoundaryExtractor2D|CellBoundaryExtractor2D]]''''' and a handy '''''[[Operators/Tools/Interactive/LabelImageEditor|LabelImageEditor]]'''''\n|-\n|style=\"text-align:left;width:10%|[[File:MiToBo_logo_PaCeQuant.png|border|72px|left|link=http://mitobo.informatik.uni-halle.de/index.php/Applications/PaCeQuantToolset]]\n|style=\"text-align:left;width:80%|'''''[[Applications/PaCeQuantToolset|PaCeQuant]]''''' and corresponding tools, i.e. the '''''[[Operators/Tools/Interactive/LabelImageEditor|LabelImageEditor]]''''', the '''''[[Applications/FeatureColorMapper|FeatureColorMapper]]''''' and the R package '''''[[Applications/PaCeQuantAna|PaCeQuantAna]]''''', for quantification, visualization and statistical analysis of the morphology and shape characteristics of cells\n|-\n|style=\"text-align:left;width:10%|[[File:NeuronAnalyzer2D.png|border|72px|left|link=http://mitobo.informatik.uni-halle.de/index.php/Applications/NeuronAnalyzer2D]]\n|style=\"text-align:left;width:80%|'''''[[Applications/NeuronAnalyzer2D|Neuron Analyzer]]''''' for the segmentation of neurons in microscope images\n|-\n|style=\"text-align:left;width:10%|[[File:tracking_ES-2.gif|72px|left|link=http://mitobo.informatik.uni-halle.de/index.php/Applications/CellMigrationAnalyzer]]\n|style=\"text-align:left;width:80%|'''''[[Applications/CellMigrationAnalyzer|Cell Migration Analyzer]]''''' for analyzing single cell migration from time lapse image sequences\n|-\n|style=\"text-align:left;width:10%|[[File:GFP_U2OS_overlay.png|72px|left|border|link=http://mitobo.informatik.uni-halle.de/index.php/Applications/ScratchAssayAnalyzer]]\n|style=\"text-align:left;width:80%|'''''[[Applications/ScratchAssayAnalyzer|Scratch Assay Analyzer]]''''' for analyzing microscope images from collective cell migration experiments\n|}\nFor several other important operators and plugins documentation is available via the [[Operator_Documentation| Operator Documentation pages]] here in the Wiki.<br> \nThe pages are structured according to the package structure of MiToBo which is also mirrored in the selection panel of MiToBo's operator runner.\n\n<br>\n'''MiToBo for developers'''<br>\nMiToBo aims not only to support users in analyzing their images, but also targets at developers by offering a programmer-friendly software framework and API for developing new algorithms.\nThe MiToBo API completely separates the implementation of image processing algorithms from potential user interfaces based \non [http://www.informatik.uni-halle.de/alida/ Alida] which is a library for easing the development of data analysis\nalgorithms and tools. The main concept of Alida are <i>operators</i> as the core units for implementing data analysis algorithms. <br />\nAlida defines unified interfaces and execution procedures for operators which yield the fundament for its nice features like \n<ul>\n<li> automatic documentation of complete analysis processes, e.g., leading from an input image to analysis results, in terms of processing graphs\n<li> automatic generation of commandline and graphical user interfaces\n<li> a graphical programming editor named '''''Grappa''''' automatically considering all implemented operators as potential processing nodes<br>\n</ul>\n\n<p>\nMiToBo 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.\n</p>\n</div>\n</div>\n<br>\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''Visit and follow MiToBo also at...'''<br>\n{|\n|style=\"text-align:center;width:10%\"|[[file:Imagej-128.png|90px|link=http://imagej.net/MiToBo]]\n|style=\"text-align:center;width:10%\"|[[file:Git.png|90px|link=https://github.com/mitobo-hub]]\n|style=\"text-align:center;width:10%\"|[[file:mtbtw.png|320px|link=https://twitter.com/MiToBo_Hal]]\n|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]]\n|style=\"text-align:center;width:10%\"|[[file:logo-blue.png|90px|link=https://omictools.com/microscope-image-analysis-toolbox-tool]]\n|-\n|style=\"text-align:center;width:10%\"|[http://imagej.net/MiToBo ImageJ.net]\n|style=\"text-align:center;width:10%\"|[https://github.com/mitobo-hub GitHub]\n|style=\"text-align:center;width:10%\"|[https://twitter.com/MiToBo_Hal Twitter]\n|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]\n|style=\"text-align:center;width:10%\"|[https://omictools.com/microscope-image-analysis-toolbox-tool OMIC Tools]\n|}\n</div>\n</div>\n|\n|style=\"vertical-align:top\" |\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''Latest News'''<br>\n* 08/2023: MiToBo 2.3.1 has been released which fixes serious incompatibilities to Bioformats.\n* 07/2023: MiToBo 2.3 has been released.<br>\n* 05/2021: MiToBo 2.2 has been released.<br>\n* 12/2020: MiToBo 2.1 has been released.<br> \n* 05/2020: MiToBo 2.0 has been released.<br> From now on the online help system relies on operator class annotations, and the release includes a [https://mitobo.informatik.uni-halle.de/index.php/Applications/PaCeQuantToolset PaCeQuant] update with new shape features and improvements for supplemental tools like the [https://mitobo.informatik.uni-halle.de/index.php/Applications/FeatureColorMapper FeatureColorMapper] and the [https://mitobo.informatik.uni-halle.de/index.php/Operators/Tools/Interactive/LabelImageEditor LabelImageEditor].\n* 07/2019: MiToBo 1.8.15 has been released fixing several issues with handling images in MiToBo.\n* 02/2019: MiToBo 1.8.14 has been released.\n\nThe news archive can be found [[News Archive | here]].\n</div>\n</div>\n<br>\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''How to get MiToBo?'''<br>\n* ImageJ-Users:<br> download the [https://moon.informatik.uni-halle.de/archiva/repository/releases/de/unihalle/informatik/MiToBo/mitobo-plugins/1.8.7.1/mitobo-plugins-1.8.7.1-bin.zip MiToBo-Plugins package] and follow the installation instructions to be found [[Installation | here]]. \n* Fiji-Users:<br> simply select MiToBo's update site [http://sites.imagej.net/MiToBo http://sites.imagej.net/MiToBo] in FijiIs list of update sites in your installation\n* use in general:<br> you can download MiToBo and the MiToBo plugins package [[Downloads | here]]. <br/> \n\nYou can find the API documentation for the current release [http://www.informatik.uni-halle.de/mitobo/api/index.html here].<br/> \nFurthermore MiToBo offers you a user and programmer guide which you can download [http://www.informatik.uni-halle.de/mitobo/downloads/manual/MiToBoManual.pdf here].\n</div>\n</div>\n<br>\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''Support, Bug reports & Feature requests'''\n{|style=\"background-color:#f8f8ff\"\n|style=\"text-align:left;width:20%|[[File:forum-image-sc.png|border|64px|left|link=https://forum.image.sc/]]\n|style=\"text-align:left;width:60%|To get help on your questions about MiToBo tools, plugins and operators you can use the forum at [https://forum.image.sc/ image.sc] tagging your post with [https://forum.image.sc/tags/mitobo #mitobo].\n|-\n|style=\"text-align:left;width:20%|[[file:Git.png|64px|link=https://github.com/mitobo-hub]]\n|style=\"text-align:left;width:60%|Bug reports and feature requests can be submitted as issues on [https://github.com/mitobo-hub/mitobo/issues Github].\n|-\n|style=\"text-align:left;width:20%|[[file:Email.png|center|36px|link=]]\n|style=\"text-align:left;width:60%|Alternatively you can also write an email to [mailto:mitobo@informatik.uni-halle.de mitobo@informatik.uni-halle.de].\n|}\nBefore reporting a new bug or requesting a new feature, please check if that bug has already been submitted in the forum or on Github.\n</div>\n</div>\n<br>\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''Licensing information'''<br>\nMiToBo 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].\n</div>\n</div>\n<br>\n<div style=\"margin: 0; margin-right:10px; border: 2px solid #dfdfdf; background-color:#f8f8ff;\">\n<div style=\"padding: 0.3em 1em 0.7em 1em;\">\n'''Gnu PGP Public Key'''<br>\nSince version 1.8.7 MiToBo and MiToBo-Plugins releases are PGP signed. MiToBo's [https://pgp.mit.edu/pks/lookup?op=get&search=0x259F7DD171EFF7A9 public key] for verification can be found on public key servers, e.g., at https://pgp.mit.edu/.\n</div>\n</div>\n|}"
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