NDLI: Automated segmentation and tracking of cells in time-lapse microscopy using watershed and mean shift

Content Provider	IEEE Xplore Digital Library
Author	Xiaodong Yang Houqiang Li Xiaobo Zhou Wong, S.
Copyright Year	2005
Description	Author affiliation: MOE-Microsoft Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei, China (Xiaodong Yang; Houqiang Li)
Abstract	In this paper, we present a new method combining watershed and mean shift for segmentation and tracking of cancer cell nuclei in time-lapse fluorescence. First, we apply the watershed algorithm to segment the cells in each frame of the video sequence, including clustered cells. Second, mean shift method is employed to track each cell in its cycle progression. The proposed method can automatically segment and track all cells without any manual initialization. Experimental result shows that our method can detect almost all the touching cells and track them successfully, especially in the case of cell mitosis which is a difficult task using traditional methods such as snake and level set.
Starting Page	533
Ending Page	536
File Size	4034338
Page Count	4
File Format	PDF
ISBN	0780392663
DOI	10.1109/ISPACS.2005.1595464
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microscopy Fluorescence Image segmentation Cancer Level set Drugs Robustness Surface topography Laboratories Multimedia computing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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