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Title: A preliminary study on cell motility analysis from phase-contrast microscopy image series
Authors: Kayan, Emre
Kavuşan, Tarık
Önal, Sevgi
Pesen Okvur, Devrim
Yalçın Özuysal, Özden
Töreyin, Behçet Uğur
Ünay, Devrim
Keywords: Cell motility
Phase-contrast optical microscopy
Image processing
Deep learning
Issue Date: 2020
Publisher: IEEE
Abstract: Analyses of morphology, polarity, and motility of cells is important for cell biology research such as metastatic and invasive capacity of cells, wound healing, and embryonic development. Automation of such analyses using image series of phase-contrast optical microscopy, which allows label-free imaging of live cells in their living environment, is a need. With this purpose, in this study image series of a cell motility experiment is manually annotated, and an automation algorithm realizing motion and shape analyses of cells using the annotated data is developed. In addition, due to the low number of annotated data at hand, a U-Net based solution is devised for automated segmentation of the cells and its performance is evaluated.
Description: 2020 Medical Technologies Congress (TIPTEKNO) -- NOV 19-20, 2020 -- ELECTR NETWORK
ISBN: 978-1-7281-8073-1
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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