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.
Image segmentation quantification wound healing assay collective cell migration phase-contrast microscopy
Birincil Dil | İngilizce |
---|---|
Konular | Bilgisayar Yazılımı, Mühendislik, Elektrik Mühendisliği |
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 30 Haziran 2021 |
Kabul Tarihi | 5 Nisan 2021 |
Yayımlandığı Sayı | Yıl 2021 Cilt: 4 Sayı: 1 |