作者: Iván Gómez-Conde , David N. Olivieri , Carlos E. Tadokoro , José Faro , José Faro
DOI: 10.2390/BIECOLL-JIB-2011-180
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摘要: Summary This paper describes a novel software algorithm, called constrained Sequential Monte Carlo (SMC) clusters, for tracking large collection of individual cells from intra-vital two-photon microscopy image sequences. We show how our method and tool, implemented in python, is useful quantifying the motility T B lymphocytes involved an immune response vs under non conditions. describe theory behind algorithm briefly discuss architecture software. Finally, we demonstrate both functionality utility by applying it to two practical examples videos displaying lymphocyte cell zones (follicles) lymph nodes.