Re-occurs among tags (visualisation, rendering, viewer, classification, ...)


NeuroAnatomy Toolbox


An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons. nat is the core package of a wider suite of neuroanatomy tools introduced at

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VMTK: Vascular Modeling Toolkit


vmtk is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels.

vmtk is composed of

  • C++ classes (VTK and ITK -based algorithms)
  • Python classes (high-level functionality - each class is a script)
  • PypeS - Python pipeable scripts, a framework which enables vmtk scripts to interact with each other




Facade API on top of JOGL ( offering a simple interface for creating OpenGL contexts/windows, GLSL shader programs, and textures. Use it in your favourite JVM-based language.

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scenery is a scenegraphing and rendering library. It allows you to quickly create high-quality 3D visualisations based on mesh data. scenery contains both a OpenGL 4.1 and Vulkan renderer. The rendering pipelines of both renderers are configurable using YAML files, so it's easy to switch between e.g. Forward Shading and Deferred Shading, as well as stereo rendering. Rendering pipelines can be switched on-the-fly.

Both renderers support rendering to head-mounted VR goggles like the HTC Vive or Oculus Rift via OpenVR/SteamVR.

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Multiview Reconstruction


The Multiview Reconstruction software package enables users to register, fuse, deconvolve and view multiview microscopy images. The software is designed for lightsheet fluorescence microscopy (LSFM), but is applicable to any form of three or higher dimensional imaging modalities like confocal timeseries or multicolor stacks. 

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The BigDataViewer is a re-slicing browser for terabyte-sized multi-view image sequences. BigDataViewer was developed with multi-view light-sheet microscopy data in mind and integrates well with Fiji's SPIMage processing pipeline.



The BigStitcher is a software package that allows simple and efficient alignment of multi-tile and multi-angle image datasets, for example acquired by lightsheet, widefield or confocal microscopes. The software supports images of almost arbitrary size ranging from very small images up to volumes in the range of many terabytes, which are for example produced when acquiring cleared tissue samples with lightsheet microscopy.

Microscopy Image Browser (MIB)


Microscopy Image Browser (MIB) is a high-performance Matlab-based software package for advanced image processing, segmentation and visualization of multi-dimensional (2D-4D) light and electron microscopy datasets.

MIB is a freely available, user-friendly software for effective image processing of multidimensional datasets that improves and facilitates the full utilization of acquired data and enables quantitative analysis of morphological features. Its open-source environment enables fine tuning and possibility of adding new plug-ins to customize the program for specific needs of any research project.

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u-track is a multiple-particle tracking Matlab software that is designed to (1) track dense particle fields, (2) close gaps in particle trajectories resulting from detection failure, and (3) capture particle merging and splitting events resulting from occlusion or genuine aggregation and dissociation events. Its core is based on formulating correspondence problems as linear assignment problems and searching for a globally optimal solution.

Data can be read using bio-format and interfaced with OMero data base.

It comes as a standalone software, but can be used as a library, which is according to the authors the most widely used version of it.

  • Version 2.2 adds parallel processing functionality for multi-movie datasets when using the GUI.
  • Version 2.1 enables the analysis of movies stored on an OMERO server
  • Version 2.0 includes two new tracking applications: microtubule plus-end tracking (previously distributed as plusTipTracker) and nuclei tracking
  • A third optional processing step has been added to the analysis workflow, track analysis, with two methods: motion analysis and microtubule plus-end classification

For more information, please see Jaqaman et al., Nature Methods 5, pp. 695-702 (2008). Besides basic particle tracking, the software supports the features described in Applegate et al. J. Struct. Biol. 176(2):168-84. 2011 for tracking microtubule plus end markers; and in Ng et al. J. Cell Biol. 199(3):545-63. 2012 for tracking fluorescently-labeled cell nuclei.




PALMsiever is a MATLAB-based application that allows the filtering (sieving) and analysis of localization-microscopy data. It provides the ability to render the data using different visualization algorithms and perform simple measurements on the point-localization data. It is extensible using simple MATLAB scripts and a number of plugins is already provided with the software itself, including a clustering algorithm and 3D rendering 2496. Strengths: intuitive, easy navigation through the point-localization data Limitations: no multi-color

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