Tracking cell motion using GM-PHD
Radford Juang(Johns Hopkins University), Andre Levchenko(Johns Hopkins University), Philippe Burlina(Johns Hopkins University Applied Physics Laboratory)
Cited by 37
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.
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