BIB-VERSION:: CS-TR-v2.0 ID:: ncstrl.dartmouthcs//TR2009-645 ENTRY:: June 18, 2009 ORGANIZATION:: Dartmouth College, Computer Science REQUESTED-BY:: farid@cs.dartmouth.edu REQUESTED-FOR:: evan@cs.dartmouth.edu REQUESTED-DATE:: Mon Jun 1 06:51:57 EDT 2009 TITLE:: Automated Tracking of Dividing Nuclei in Microscopy Videos of Living Cells TYPE:: Technical Report (paper) REVISION:: 1 AUTHOR:: Tice, Evan L. DATE:: June 2009 RETRIEVAL:: For a paper copy, email RETRIEVAL:: For a paper copy, write to Technical Report Librarian Department of Computer Science Dartmouth College 6211 Sudikoff Laboratory Hanover, NH 03755-3510 USA RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR2009-645.pdf 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 END:: ncstrl.dartmouthcs//TR2009-645