An Image Segmentation Method for Wound Healing Assay Images
Öz
Anahtar Kelimeler
Kaynakça
- Matsubayashi, Yutaka, William Razzell, and Paul Martin. "White wave’analysis of epithelial scratch wound healing reveals how cells mobilise back from the leading edge in a myosin-II-dependent fashion." Journal of cell science 124.7 (2011): 1017-1021.
- Gebäck, Tobias, et al. "TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays: Short Technical Reports." Biotechniques 46.4 (2009): 265-274.
- Suarez-Arnedo, Alejandra, et al. "An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays." bioRxiv (2020).
- Zordan, Michael D., et al. "A high throughput, interactive imaging, bright‐field wound healing assay." Cytometry Part A 79.3 (2011): 227-232.
- Topman, Gil, Orna Sharabani-Yosef, and Amit Gefen. "A standardized objective method for continuously measuring the kinematics of cultures covering a mechanically damaged site." Medical engineering & physics 34.2 (2012): 225-232.
- Grada, Ayman, et al. "Research techniques made simple: analysis of collective cell migration using the wound healing assay." Journal of Investigative Dermatology 137.2 (2017): e11-e16.
- Huang, Kai, and Robert F. Murphy. "From quantitative microscopy to automated image understanding." Journal of biomedical optics 9.5 (2004): 893-913.
- Garcia, Fossa, Vladimir Fernanda Gaal, and B. de Jesus Marcelo. "PyScratch: an ease of use tool for analysis of Scratch assays." Computer Methods and Programs in Biomedicine (2020): 105476.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Bilgisayar Yazılımı, Mühendislik, Elektrik Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Devrim Pesen Okvur
Bu kişi benim
0000-0001-8333-4193
Türkiye
Behçet Töreyin
0000-0003-4406-2783
Türkiye
Devrim Ünay
0000-0003-3478-7318
Türkiye
Yayımlanma Tarihi
30 Haziran 2021
Gönderilme Tarihi
4 Ocak 2021
Kabul Tarihi
5 Nisan 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 4 Sayı: 1