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Many cell biologists perform analysis of multinucleated cell data in order to better under-
stand the mechanisms that regulate cell division. Sbalzarini, et al., have developed methods
for automatically tracking nuclei in cell data in order to aid in this time-consuming analysis.
In this paper, we present an implementation of the Sbalzarini tracking algorithm, introduce a
new algorithm we developed which is able to identify mitosis events, and present other software
tools we have developed to aid in the automated detection of nucleus data.
Senior Honors Thesis. Advisors: Alex Barnett, Amy Gladfelter, Hany Farid
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Evan L. Tice, "Automated Tracking of Dividing Nuclei in Microscopy Videos of Living Cells." Dartmouth Computer Science Technical Report TR2009-645, June 2009.
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