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

被引:536
作者
Gebaeck, Tobias [2 ]
Schulz, Martin Michael Peter [1 ]
Koumoutsakos, Petros [2 ]
Detmar, Michael [1 ]
机构
[1] ETH, Swiss Fed Inst Technol, Inst Pharmaceut Sci, CH-8093 Zurich, Switzerland
[2] ETH, Swiss Fed Inst Technol, Chair Computat Sci, CH-8093 Zurich, Switzerland
基金
美国国家卫生研究院;
关键词
cell migration; wound healing; angiogenesis; scratch assay; curvelets; image analysis; segmentation; CELL-MIGRATION; IN-VITRO; ENDOTHELIAL-CELLS; CANCER;
D O I
10.2144/000113083
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
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 titre 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.
引用
收藏
页码:265 / +
页数:6
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