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Detection and Analysis of Cell Nuclear Phases
Bioinformatics Applications Research Centre, James Cook University Townsville, Australia.
Bioinformatics Applications Research Centre, James Cook University Townsville, Australia.ORCID iD: 0000-0002-4255-5130
HCNR Centre for Bioinformatics Harvard Medical School, Boston, USA.
2008 (English)In: Knowledge-Based Intelligent Information and Engineering Systems: 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part I / [ed] Ignac Lovrek, Robert J. Howlett and Lakhmi C. Jain, Springer Berlin/Heidelberg, 2008, 401-408 p.Chapter in book (Refereed)Text
Abstract [en]

Automated analysis of molecular images has increasingly become an important research in computational life science. In this paper some new and efficient algorithms for detecting and analyzing cell phases of high-content screening are presented. The conceptual frameworks are based on the morphological features of cell nuclei. Furthermore, the novel detecting and analyzing strategies of feed-forward and feed-back of cell phases are proposed based on grey feature, cell shape, geometrical features and difference information of corresponding neighbor frames. Experiment results tested the efficiency of the new method.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2008. 401-408 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 5177
Keyword [en]
Nuclear phases, cell screening, feature extraction, morphological feature, feed-forward detection, feed-back detection, shape recognition, normal cellular cycle
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-125017DOI: 10.1007/978-3-540-85563-7_5ISBN: 978-3-540-85562-0 (Print)ISBN: 978-3-540-85563-7 (Print)OAI: oai:DiVA.org:liu-125017DiVA: diva2:902779
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-12Bibliographically approved

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Pham, Tuan D
Medical Engineering

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ReferencesLink to record
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