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Quantitative biological studies enabled by robust cell tracking

Abstract:

A growing number of screening applications require the automated monitoring of cell populations enabled by cell segmentation and tracking algorithms in a high-throughput, high-content environment. Building upon the tracks generated by such algorithms, we derive biologically relevant features and demonstrate a range of biological studies made possible by such quantitative measures. In the first, we introduce a combination of quantitative features that characterize cell apoptosis and arrest. In...

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Publisher copy:
10.1109/ISBI.2011.5872787

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Journal:
Proceedings - International Symposium on Biomedical Imaging
Pages:
1929-1934
Publication date:
2011-01-01
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
Source identifiers:
439045
Language:
English
Keywords:
Pubs id:
pubs:439045
UUID:
uuid:3cf86639-40a4-4372-8112-b4597bd6eaf3
Local pid:
pubs:439045
Deposit date:
2014-02-08

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