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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Black-Frama-60-66.pdf Until 2026-01-01 | 3.21 MB | Adobe PDF | View/Open Request a copy |
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