Live sample imaging

Nuclei tracking in 2D time-lapse with Octave tracker (adapted from Matlab LOBSTER version).

Object tracking. For each time-frame, an image mask is obtained from median filtering (user defined radius), thresholding (user defined level) and hole filling. Convex objects are split apart by distance map watershed from regional intensity maxima (user defined noise tolerance), eroded (user defined radius) and analyzed as 3D particles (assuming some overlap between objects from a frame to the next frame). Finally, division events are analyzed and accounted for to relabel objects.

TGMM is a cell tracking solution for large 3D volume (typically lightsheet).

It detects cell nuclei by fitting gaussians on their fluorescent intensity.

It can run on GPU using CUDA and is called via the command line.

OligoMacro Toolset, is an ImageJ macro-toolset aimed at isolating oligodendrocytes from wide-field images, tracking isolated cells, characterizing processes morphology along time, outputting numerical data and plotting them. It takes benefit of ImageJ built-in functions to process images and extract data, and relies on the R software in order to generate graphs.

Set of Tools for super resolution microscopy