Developed by the Core Facility Imaging and the Pattern Recognition and Bioinformatics group (Institute of Computer Science).
Möller B, Glaß M, Misiak D, Posch S. MiToBo - A Toolbox for Image Processing and Analysis. Journal of Open Research Software. 2016;4(1):e17. DOI: doi.org/10.5334/jors.103
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:
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
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.
Current release: You can download MiToBo version 1.7 here.