Detection and Analysis of Cell Nuclear Phases
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
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.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 5177
Nuclear phases, cell screening, feature extraction, morphological feature, feed-forward detection, feed-back detection, shape recognition, normal cellular cycle
IdentifiersURN: 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