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Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen


In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an overlap-based cell tracking algorithm that has the ability to track cells across a set of time-lapse images based on the amount of overlap between cellular regions in consecutive frames. It uses the overlap to identify mitotic cells as well. This cell tracker is designed to be highly flexible, requires little user parameterization, and has a fast execution time. We demonstrate the performance of this tracker on NIH-3T3 mouse fibroblast cell line.
Proceedings Title
IEEE International Symposium on Biomedical Imaging (ISBI 2010)
Conference Dates
April 14-17, 2010
Conference Location
Rotterdam, NL


— overlap-based cell tracking, time-lapse cell imaging, cell motility, live-cell imaging


Chalfoun, J. , Cardone, A. , Dima, A. , Halter, M. and Allen, D. (2010), AN AUTOMATIC OVERLAP-BASED CELL TRACKING SYSTEM, IEEE International Symposium on Biomedical Imaging (ISBI 2010), Rotterdam, NL, [online], (Accessed July 22, 2024)


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Created February 25, 2010, Updated October 12, 2021