Tracking T and B cells from two-photon microscopy imaging using constrained SMC clusters
This paper describes a novel software algorithm, called constrained Sequential Monte Carlo (SMC) clusters, for tracking a large collection of individual cells from intra-vital two-photon microscopy image sequences. We show how our method and software tool, implemented in python, is useful for quanti...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2011-12-01
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Series: | Journal of Integrative Bioinformatics |
Online Access: | https://doi.org/10.1515/jib-2011-180 |