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MiToBo - A microscope image analysis toolbox

What is MiToBo? The 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 page of features for an overview). MiToBo is implemented as extension for the widely used image processing application ImageJ/Fiji and its new release ImageJ 2.0. All functions, operators and plugins of MiToBo are ready to be directly used as plugins in ImageJ and Fiji. Highlight operators and tools in MiToBo CytoskeletonAnalyzer2D for the quantification of cytoskeleton structural patterns in microscopy images with texture measures PaCeQuant for quantifying the morphology and shape characteristics of cells Neuron Analyzer for the segmentation of neurons in microscope images Cell Migration Analyzer for analyzing single cell migration from time lapse image sequences Scratch Assay Analyzer for analyzing microscope images from collective cell migration experiments MiToBo for developers MiToBo 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. The MiToBo API completely separates the implementation of image processing algorithms from potential user interfaces based on 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.net ImageJ Docu Wiki OMIC Tools GitHub

Latest News 12/2018: MiToBo 1.8.13 has been released including the CytoskeletonAnalyzer2D. 07/2018: We have added a new page Tips and Tricks here in the Wiki where you can find information on how to accomplish common tasks like manually labeling images. The news archive can be found here. How to get MiToBo? ImageJ-Users: download the MiToBo-Plugins package and follow the installation instructions to be found here. Fiji-Users: simply add MiToBo's update site http://sites.imagej.net/MiToBo to your Fiji installation use in general: you can download MiToBo and the MiToBo plugins package here. You can find the API documentation for this release here. Furthermore MiToBo offers you a user and programmer guide which you can download here. Support, Bug reports & Feature requests To get help on your questions about MiToBo and its operators you can use the forum at image.sc using the tag #mitobo. Bug reports and feature requests can be submitted as issues on Github. Alternatively you can also write an email 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 in the forum or on Github. 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. Gnu PGP Public Key Since version 1.8.7 MiToBo and MiToBo-Plugins releases are PGP signed. MiToBo's public key for verification can be found on public key servers, e.g., at https://pgp.mit.edu/.