A new image segmentation method for quantitative analysis of in vitro scratch assay

Image processing techniques are frequently used for extracting quantitative information from different types of microscopic images. Particularly, in cell biology (cell migration, growth, wound healing etc.), image analysis is time consuming, and requires personal expertise. In addition, evaluation of the results may be subjective. Therefore, computer-based learning/ vision-based applications have been developed rapidly in recent years. In this study, micrographs captured during scratch assay for the determination of migration of monolayer adherent carcinoma cells were analyzed by using image processing techniques. Scratch and cell monolayer areas were determined by using multi-tresholding and morphological image processing in analysis. In conclusion, scratch area and its border lines were automatically determined, and scratch and cell monolayer areas were calculated.