Tracking cell motion using GM-PHD

We present a method for tracking the movement of multiple cells and their lineage. We use the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter, a multi-target tracking algorithm, to track the motion of multiple cells over time and to keep track of the lineage of cells as they spawn. W...

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Bibliographic Details
Published in2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 1154 - 1157
Main Authors Juang, R.R., Levchenko, A., Burlina, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Bayesian methods
Filtering
Filters
Image analysis
Immune system
Inspection
Layout
Microscopy
Stochastic processes
Tracking
Tracking filters
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ISBN1424439310
9781424439317
ISSN1945-7928
DOI10.1109/ISBI.2009.5193262

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Summary:We present a method for tracking the movement of multiple cells and their lineage. We use the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter, a multi-target tracking algorithm, to track the motion of multiple cells over time and to keep track of the lineage of cells as they spawn. We describe a spawning model for the GM-PHD filter as well as modifications to the original GM-PHD algorithm to track lineage. Experimental results are provided illustrating the approach for dense cell colonies.
ISBN:1424439310
9781424439317
ISSN:1945-7928
DOI:10.1109/ISBI.2009.5193262