期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 104, 期 2, 页码 227-234出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2011.06.002
关键词
Multiple cell tracking; Scratch wound healing assay; High throughput screening; Microscopy image processing; Cell counting software
类别
资金
- German Science Foundation [SFB 518, C05]
- Federal Ministry Of Education and Research (BMBF) [PKB-01GS08]
The direct observation of cells over time using time-lapse microscopy can provide deep insights into many important biological processes. Reliable analyses of motility, proliferation, invasive potential or mortality of cells are essential to many studies involving live cell imaging and can aid in biomarker discovery and diagnostic decisions. Given the vast amount of image- and time-series data produced by modem microscopes, automated analysis is a key feature to capitalize the potential of time-lapse imaging devices. To provide fast and reproducible analyses of multiple aspects of cell behaviour, we developed TimeLapseAnalyzer. Apart from general purpose image enhancements and segmentation procedures, this extensible, self-contained, modular cross-platform package provides dedicated modalities for fast and reliable analysis of multi-target cell tracking, scratch wound healing analysis, cell counting and tube formation analysis in high throughput screening of live-cell experiments. TimeLapseAnalyzer is freely available (MATLAB, Open Source) at http://www.informatik.uniulm.de/ni/mitarbeiter/HKestler/tla. (C) 2011 Elsevier Ireland Ltd. All rights reserved.
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