Document Detail


QUANTITATIVE CELL MOTILITY FOR IN VITRO WOUND HEALING USING LEVEL SET-BASED ACTIVE CONTOUR TRACKING.
MedLine Citation:
PMID:  19578557     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Quantifying the behavior of cells individually, and in clusters as part of a population, under a range of experimental conditions, is a challenging computational task with many biological applications. We propose a versatile algorithm for segmentation and tracking of multiple motile epithelial cells during wound healing using time-lapse video. The segmentation part of the proposed method relies on a level set-based active contour algorithm that robustly handles a large number of cells. The tracking part relies on a detection-based multiple-object tracking method with delayed decision enabled by multi-hypothesis testing. The combined method is robust to complex cell behavior including division and apoptosis, and to imaging artifacts such as illumination changes.
Authors:
Filiz Bunyak; Kannappan Palaniappan; Sumit K Nath; Tobias I Baskin; Gang Dong
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging     Volume:  -     ISSN:  1945-8452     ISO Abbreviation:  Proc IEEE Int Symp Biomed Imaging     Publication Date:  2006 Apr 
Date Detail:
Created Date:  2009-7-6     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101492570     Medline TA:  Proc IEEE Int Symp Biomed Imaging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1040-1043     Citation Subset:  -    
Affiliation:
Department of Computer Science University of Missouri-Columbia MO 65211-2060 USA.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R33 EB000573-02//NIBIB NIH HHS

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