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Lookup NU author(s): Dr Glyn NelsonORCiD
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Many intracellular signal transduction processes involve the reversible translocation from the cytoplasm to the nucleus of transcription factors. The advent of fluorescently tagged protein derivatives has revolutionized cell biology, such that it is now possible to follow the location of such protein molecules in individual cells in real time. However, the quantitative analysis of the location of such proteins in microscopic images is very time consuming. We describe CellTracker, a software tool designed for the automated measurement of the cellular location and intensity of fluorescently tagged proteins. CellTracker runs in the MS Windows environment, is freely available (at http://www.dbkgroup.org/celltracker/), and combines automated cell tracking methods with powerful image-processing algorithms that are optimized for these applications. When tested in an application involving the nuclear transcription factor NF-kappa B, CellTracker is competitive in accuracy with the manual human analysis of such images but is more than 20 times faster, even on a small task where human fatigue is not an issue. This will lead to substantial benefits for time-lapse-based high-content screening.
Author(s): Shen H, Nelson G, Nelson DE, Kennedy S, Spiller DG, Griffiths T, Paton N, Oliver SG, White MRH, Kell DB
Publication type: Article
Publication status: Published
Journal: Journal of the Royal Society Interface
Year: 2006
Volume: 3
Issue: 11
Pages: 787-794
Print publication date: 22/12/2006
ISSN (print): 1742-5689
ISSN (electronic): 1742-5662
Publisher: The Royal Society Publishing
URL: http://dx.doi.org/10.1098/rsif.2006.0137
DOI: 10.1098/rsif.2006.0137
Notes: 114SN Times Cited:5 Cited References Count:27
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