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	Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis
	Li, Fuhai ; Zhou, Xiaobo ; Ma, Jinwen ; Wong, Stephen T. C.
	2010
关键词	Anti-cancer drug screening cell cycle analysis segmentation and tracking time-lapse fluorescence microscopy MIGRATING CELLS IMAGE-ANALYSIS MEAN-SHIFT SEGMENTATION MICROSCOPY CLASSIFICATION IDENTIFICATION SELECTION SNAKES
英文摘要	Automated cell segmentation and tracking are critical for quantitative analysis of cell cycle behavior using time-lapse fluorescence microscopy. However, the complex, dynamic cell cycle behavior poses new challenges to the existing image segmentation and tracking methods. This paper presents a fully automated tracking method for quantitative cell cycle analysis. In the proposed tracking method, we introduce a neighboring graph to characterize the spatial distribution of neighboring nuclei, and a novel dissimilarity measure is designed based on the spatial distribution, nuclei morphological appearance, migration, and intensity information. Then, we employ the integer programming and division matching strategy, together with the novel dissimilarity measure, to track cell nuclei. We applied this new tracking method for the tracking of HeLa cancer cells over several cell cycles, and the validation results showed that the high accuracy for segmentation and tracking at 99.5% and 90.0%, respectively. The tracking method has been implemented in the cell-cycle analysis software package, DCELLIQ, which is freely available.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000273334400009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Interdisciplinary Applications; Engineering, Biomedical; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging; SCI(E); EI; PubMed; 35; ARTICLE; 1; 96-105; 29
语种	英语
出处	EI ; PubMed ; SCI
出版者	电气与电子工程师协会医疗显象汇刊
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/157245]
专题	数学科学学院
推荐引用方式 GB/T 7714	Li, Fuhai,Zhou, Xiaobo,Ma, Jinwen,et al. Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis. 2010-01-01.

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