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Bioinformatics Advance Access published online on May 29, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn247
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© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

CellTrack: An Open-Source Software for Cell Tracking and Motility Analysis

Ahmet Sacan 1,2,{dagger}, Hakan Ferhatosmanoglu 2,3 and Huseyin Coskun 3

1Computer Engineering Department, Middle East Technical University, Ankara, TURKEY
2Dept. of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
3Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA

{dagger}To whom correspondence should be addressed. Ahmet Sacan, E-mail: sacan{at}cse.ohio-state.edu


  Abstract

Motivation: Cell motility is a critical part of many important biological processes. Automated and sensitive cell tracking is essential to cell motility studies where the tracking results can be used for diagnostic or curative decisions and where mathematical models can be developed to deepen our understanding of the mechanisms underlying cell motility.

Results: We have developed CellTrack: a self-contained, extensible, and cross-platform software package for cell tracking and motility analysis. Besides the general purpose image enhancement, object segmentation and tracking algorithms, we have implemented a novel edge-based method for sensitive tracking of the cell boundaries, and constructed an ensemble of methods that achieves refined tracking results even under large displacements or deformations of the cells.

Availability: CellTrack is an Open Source project and is freely available at http://db.cse.ohio-state.edu/CellTrack

Contact: sacan{at}cse.ohio-state.edu

Associate Editor: Dr. Olga Troyanskaya

Received on March 8, 2008; revised on May 7, 2008; accepted on May 23, 2008

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