Tracking B Cells from Two-Photon Microscopy Images Using Sequential Monte Carlo
A python based software package that implements Sequential Monte Carlo (SMC) tracking is used for extracting dynamical information of a large collection of individual cells from two-photon microscopy image sequences.We show how our software tool is useful for quantifying the motility of B cells involved in immune response and for validating computational immunologic models. We describe the theory behind our algorithm and discuss the architecture of our software. Finally, we demonstrate both the functionality and utility using a practical example from videos of the germinal center reactions.
KeywordsSequential Monte Carlo Germinal Center Reaction OpenCV Library Principal Class Reference Histogram
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