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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
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
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
Source identifiers:
439054
Language:
English
Keywords:
Pubs id:
pubs:439054
UUID:
uuid:5167dd54-4417-4dbe-a627-3197286ea0e5
Local pid:
pubs:439054
Deposit date:
2014-02-08

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