@TechReport{Dartmouth:TR2009-645,
  author = {Evan L. Tice},
  title = {{Automated Tracking of Dividing Nuclei in Microscopy Videos of Living Cells}},
  institution = {Dartmouth College, Computer Science},
  address = {Hanover, NH},
  number = {TR2009-645},
  year = {2009},
  month = {June},
  URL = {http://www.cs.dartmouth.edu/reports/TR2009-645.pdf},
  comment = {
    Senior Honors Thesis. Advisors: Alex Barnett, Amy Gladfelter, Hany Farid
  },
  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.
  }
}