Abstract
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. © 2011 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Olivieri, D., Conde, I. G., & Faro, J. (2011). Tracking B cells from two-photon microscopy images using sequential Monte Carlo. In Advances in Intelligent and Soft Computing (Vol. 93, pp. 71–78). https://doi.org/10.1007/978-3-642-19914-1_10
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