TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays

Cell migration plays a major role in development, physiology, and disease, and is frequently evaluated in vitro by the monolayer wound healing assay. The assay analysis, however, is a time-consuming task that is often performed manually. In order to accelerate this analysis, we have developed TScrat...

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Vydáno v:BioTechniques Ročník 46; číslo 4; s. 265 - 274
Hlavní autoři: Gebäck, Tobias, Schulz, Martin Michael Peter, Koumoutsakos, Petros, Detmar, Michael
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Future Science Ltd 01.04.2009
Témata:
Algorithms
angiogenesis
Animals
Cell Line, Tumor
cell migration
Cell Migration Assays
Cell Movement - physiology
Cells - classification
Cells, Cultured
Computer Graphics
curvelets
Data Interpretation, Statistical
Humans
image analysis
Image Processing, Computer-Assisted - methods
Mice
scratch assay
segmentation
Software
User-Computer Interface
wound healing
Wound Healing - physiology
ISSN:0736-6205, 1940-9818, 1940-9818
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Shrnutí:Cell migration plays a major role in development, physiology, and disease, and is frequently evaluated in vitro by the monolayer wound healing assay. The assay analysis, however, is a time-consuming task that is often performed manually. In order to accelerate this analysis, we have developed TScratch, a new, freely available image analysis technique and associated software tool that uses the fast discrete curvelet transform to automate the measurement of the area occupied by cells in the images. This tool helps to significantly reduce the time needed for analysis and enables objective and reproducible quantification of assays. The software also offers a graphical user interface which allows easy inspection of analysis results and, if desired, manual modification of analysis parameters. The automated analysis was validated by comparing its results with manual-analysis results for a range of different cell lines. The comparisons demonstrate a close agreement for the vast majority of images that were examined and indicate that the present computational tool can reproduce statistically significant results in experiments with well-known cell migration inhibitors and enhancers.
Bibliografie:ObjectType-Article-1
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ISSN:0736-6205
1940-9818
1940-9818
DOI:10.2144/000113083