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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others
* a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data).
* a Leica file reader,
* Steindhard bond orientational order calculation
* a VTK file writer
1.
The Self-Organizing Map Maker for Education and Research. Features include 3D-visualization of the training process, various 2D and 3D map topologies, easy extensibility to additional topologies.
Our goal is to create an open source framework and toolset for modeling dynamic cellular network functions, and to develop a user community committed to using, extending and exploiting these tools to further our knowledge of biologic processes.