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Multiple-particle tracking 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
Multiple particle tracking in dense 3D particle fields complemented with dynamic regions of interest and trackability inferences for the automated exploration of large volumetric sequences.
Processing of raw ratiometric biosensor images (for example based on FRET) into fully corrected "ratio maps" or "activation maps" — images showing the localized activation of the biosensor.
Analyze local cell edge motions (e.g. protrusion and retraction) and to locally sample intracellular fluorescence signals in 2D fluorescence microscopy data.
MATLAB codes developed in Courtemanche lab at University of Minnesota for automating analysis of actin filament properties from single molecule microscopy images.
This focal adhesion package is a software that tracks, segments, classifies and analyzes the time series of focal- and nascent adhesions in an adhesion time-lapse images.
Quick-Start for life scientists willing to use Matlab (for fluorescence microscopy, mass spectrometry, x-ray crystallography, single-particle electron microscopy, kinetics ...).. No background in programming is required.