An Image Segmentation Method for Wound Healing Assay Images

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Natural and Applied Sciences Journal
Volume:4 Issue:1
An Image Segmentation Method for Wound Healing Assay Images

An Image Segmentation Method for Wound Healing Assay Images

Authors : Yusuf Sait ERDEM, Özden YALÇIN ÖZUYSAL, Devrim PESEN OKVUR, Behçet TÖREYİN, Devrim ÜNAY

Pages : 30-37

Doi:10.38061/idunas.853356

View : 91 | Download : 23

Publication Date : 2021-06-30

Article Type : Research Paper

Abstract :Wound healing assays are important for molecular biologists to understand the mechanisms of cell migration. For the analysis of wound healing assays, accurate segmentation of the wound front is a necessity. Manual annotation of the wound front is inconvenient since it is time-consuming and annotator-dependent. Thus automated, fast, and robust solutions are required. There are several image processing techniques proposed to fulfill this need. However, requirement for specification of optimal parameters, the need for human intervention, and the lack of high accuracy emerge as the downfalls for most of them. In this study we have proposed a novel method to overcome these difficulties.
Keywords : Image segmentation, quantification, wound healing assay, collective cell migration, phase contrast microscopy

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