Journal article
CellTrack: an open-source software for cell tracking and motility analysis
Bioinformatics, v 24(14), pp 1647-1649
15 Jul 2008
PMID: 18511469
Featured in Collection : UN Sustainable Development Goals @ Drexel
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@cse.ohio-state.edu
Metrics
Details
- Title
- CellTrack: an open-source software for cell tracking and motility analysis
- Creators
- Ahmet Sacan - 1Computer Engineering Department, Middle East Technical University, Ankara, Turkey, 2Department of Computer Science and Engineering and 3Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USAHakan Ferhatosmanoglu - 1Computer Engineering Department, Middle East Technical University, Ankara, Turkey, 2Department of Computer Science and Engineering and 3Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USAHuseyin Coskun - 1Computer Engineering Department, Middle East Technical University, Ankara, Turkey, 2Department of Computer Science and Engineering and 3Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA
- Publication Details
- Bioinformatics, v 24(14), pp 1647-1649
- Publisher
- Oxford University Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000257576000016
- Other Identifier
- 991014878351504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Statistics & Probability