Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14239
Title: Blank frame and intensity variation distortion detection and restoration pipeline for phase-contrast microscopy time-lapse images
Authors: Uçar, Mahmut
Iheme, Leonardo O.
Önal, Sevgi
Pesen Okvur, Devrim
Yalçın Özuysal, Özden
Töreyin, Behçet Uğur
Ünay, Devrim
Keywords: Blank frame
Intensity variation
Phase-Contrast microscopy
Video processing
Inhomogeneity
Publisher: AVES
Abstract: In this study, we propose a preprocessing pipeline for the detection and correction of distorted frames in time-lapse images obtained from phase-contrast microscopy. The proposed pipeline employs the average intensities of frames as a foundational element for the analysis. In order to evaluate the degree of correction required for intensity variance, a normalization technique is applied to the difference between the average intensity of a specific frame and the median average intensity of all frames within the study. Our restoration method increases the histogram similarity between the distorted and non-distorted frames, preserves trans-passing pixels in regions of interest, and mitigates the development of additional distortions. The efficacy of the proposed method was evaluated using 15 395 time-lapse image frames from 27 experiments using our own dataset and 830 time-lapse images from four different experiments obtained from the cell tracking challenge. The results of the validation demonstrate a high degree of numerical and visual accuracy of the proposed pipeline.
URI: https://doi.org/10.5152/electrica.2024.23030
https://hdl.handle.net/11147/14239
ISSN: 2619-9831
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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