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Summary: MULTI-CELL 3D TRACKING WITH ADAPTIVE ACCEPTANCE GATES
Michael Landau1
, Ekaterina Koltsova2
, Klaus Ley2
, and Scott T. Acton1
1
Dept. of Electrical Engineering, University of Virginia, Charlottesville, VA 22908;
2
Division of Inflammation Biology, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037
ABSTRACT
Recent advances in multiphoton microscopy have allowed
the capture of dendritic and T cells on video in a 3D
volume. This paper reports on an approach for automatically
detecting and tracking the cells and collecting statistics on
their characteristics of motion and interaction durations. A
novel method to extend the track longevity is presented,
where an adaptive acceptance gate is computed based on the
local target density. Results are provided that show that the
total number of track segments was reduced by 22% and the
percentage of tracks that lasted longer than half the video
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