CellTrack: an open-source software for cell tracking and motility analysis
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 un...
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| Veröffentlicht in: | Bioinformatics 2008-07, Vol.24 (14), p.1647-1649 |
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| container_title | Bioinformatics |
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| creator | Sacan, Ahmet Ferhatosmanoglu, Hakan Coskun, Huseyin |
| description | 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 |
| doi_str_mv | 10.1093/bioinformatics/btn247 |
| format | Article |
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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. 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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. 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| ispartof | Bioinformatics, 2008-07, Vol.24 (14), p.1647-1649 |
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| subjects | Animals Automation Biological and medical sciences Cell Movement - physiology Computational Biology - methods Computer Simulation Fundamental and applied biological sciences. Psychology General aspects Humans Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Biological Models, Statistical Models, Theoretical Programming Languages Software User-Computer Interface |
| title | CellTrack: an open-source software for cell tracking and motility analysis |
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