Multi-Target Tracking Of Packed Yeast Cells

The tracking of cell populations in time-lapse microscopy images enables high-throughput spatiotemporal measurements of cell dynamics. In this paper, we present a new algorithm to simultaneously track many cells in crowded areas. The algorithm runs in real time and deals with thousands of cells. The main contribution of this paper is that the algorithm is able to maintain the spatiotemporal consistency of the tracks in crowded areas, even when the temporal resolution is coarse. We validate our approach in terms of its ability to track yeast cells.


Published in:
2010 7Th Ieee International Symposium On Biomedical Imaging: From Nano To Macro, 544-547
Presented at:
7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, NETHERLANDS, Apr 14-17, 2010
Year:
2010
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-4126-6
Keywords:
Laboratories:




 Record created 2011-12-16, last modified 2018-03-17

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