Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12732
Title: Detection and restoration pipeline for phase contrast microscopy time series images
Authors: Uçar, Mahmut
Iheme, Leonardo O.
Önal, Sevgi
Yalçın Özuysal, Özden
Pesen Okvur, Devrim
Töreyin, Behçet U.
Ünay, Devrim
Keywords: Blank-frame
Intensity variation
Video processing
Phase contrast mi-croscopy
Issue Date: Nov-2022
Publisher: IEEE
Abstract: We propose a pre-processing pipeline for the de-tection and restoration of distorted frames in phase-contrast microscopy time-series images. The analysis is based on the average intensity values of the frames within any given time- series image. The extent of the correction of intensity variation in frames is determined by the normalization of the difference between the current frame's average intensity and the median of average intensity of all frames. Our restoration algorithm preserves regional trans-passing pixels, does not cause new distortions, and increases the histogram similarity between the distorted and non-distorted frames. The algorithm was validated on 15,395 time-series image frames from 27 experiments and the results were found to be visually and quantitatively accurate.
Description: This work is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant no 119E578. The data used in this study is collected under the Marie Curie IRG grant (no: FP7 PIRG08-GA-2010-27697). 978-1-6654-5432-2/22/$31.00.
URI: https://doi.org/10.1109/TIPTEKNO56568.2022.9960161
https://hdl.handle.net/11147/12732
Appears in Collections:Bioengineering / Biyomühendislik
Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
Detection_and_Restoration.pdfConference Paper File985.33 kBAdobe PDFView/Open
Show full item record



CORE Recommender

Page view(s)

110
checked on Feb 26, 2024

Download(s)

66
checked on Feb 26, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.