Tracking cell motion using GM-PHD

Authors:
Radford Ray Juang;Andre Levchenko;Philippe Burlina
Affiliations:
Johns Hopkins University, Applied Physics Lab and Biomedical Engineering Dept., Laurel, MD;Johns Hopkins University, Applied Physics Lab and Biomedical Engineering Dept., Laurel, MD;Johns Hopkins University, Applied Physics Lab and Biomedical Engineering Dept., Laurel, MD
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

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.