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Automated Tracking of Dividing Nuclei in Microscopy Videos of Living Cells
Evan L. Tice
Dartmouth TR2009-645

Abstract: 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.

Note: Senior Honors Thesis. Advisors: Alex Barnett, Amy Gladfelter, Hany Farid


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   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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