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Coupled minimum-cost flow cell tracking

Abstract:

A growing number of screening applications require the automated monitoring of cell populations in a high-throughput, high-content environment. These applications depend on accurate cell tracking of individual cells that display various behaviors including mitosis, occlusion, rapid movement, and entering and leaving the field of view. We present a tracking approach that explicitly models each of these behaviors and represents the association costs in a graph-theoretic minimum-cost flow framew...

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Institution:
University of Oxford
Department:
Oxford, MPLS, Clinical Medicine, Biomedical Research Centre
Role:
Author
Journal:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume:
5636 LNCS
Pages:
374-385
Publication date:
2009-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
URN:
uuid:5167dd54-4417-4dbe-a627-3197286ea0e5
Source identifiers:
439054
Local pid:
pubs:439054

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