Date of Award

6-3-2009

Document Type

Thesis (Undergraduate)

Department or Program

Department of Computer Science

First Advisor

Alex Barnett

Second Advisor

Amy Gladfelter

Third Advisor

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.

Comments

Originally posted in the Dartmouth College Computer Science Technical Report Series, number TR2009-645.

Download

Share

COinS