TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy

Abstract 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...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2011-11, Vol.104 (2), p.227-234
Main Authors: Huth, Johannes, Buchholz, Malte, Kraus, Johann M, Mølhave, Kristian, Gradinaru, Cristian, Wichert, Götz v, Gress, Thomas M, Neumann, Heiko, Kestler, Hans A
Format: Article
Language:English
Subjects:
Biological and medical sciences
Cell counting software
High throughput screening
Internal Medicine
Medical sciences
Microscopy - methods
Microscopy image processing
Multiple cell tracking
Other
Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects)
Reproducibility of Results
Scratch wound healing assay
Technology. Biomaterials. Equipments. Material. Instrumentation
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Summary:Abstract 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 modern 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.uni-ulm.de/ni/mitarbeiter/HKestler/tla.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2011.06.002