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Vaa3D [1, 2, 3] is a handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. It also provides many unique functions ... It is also Open Source, supports a very simple and powerful plugin interface and thus can be extended & enhanced easily...

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μManager is a software package for control of automated microscopes.

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OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 6 million.

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MATLAB is famous, so this page is only for being the landing page for components and workflows.

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3D Slicer

Slicer, or 3D Slicer, is a free, open source software package for visualization and image analysis. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X.

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BioImage Analysis Tool for all! See [1].

ImageJ 1.x


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ilastik (the image learning, analysis, and segmentation toolkit) provides non-experts with a menu of pre-built image analysis workflows. ilastik handles data of up to five dimensions (time, 3D space, and spectral dimension). Its workflows provide an interactive experience to give the user immediate feedback on the quality of the results yielded by her chosen parameters and/or labelings.

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A General purpose image processing toolkit written in C++ based on ITK, VTK, Qt, and Boost. Main features: algorithms for cell segmentation, cell tracing, cell tracking, and vessel tracing. Registration and mosaicing algorithms for large scale datasets. Visualization tools actively linked to inspect and edit results.
- Open-source, free, multi platform, code is highly parallelized, uses git for version control
- Large scale processing, also efficient visualization of such datasets.
- Active learning module for classification

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Reproducing an experiment doesn’t stop at the bench when images are concerned. Icy is an open source bioimaging software package that aims to provide a framework for authors to share, and others to reproduce, research once the sample hits the microscope. Icy was released in April 2011 and is being developed at the Quantitative Image Analysis Unit at the Pasteur Institute in France by Jean-Christophe Olivo-Marin and his team.


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