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https://hdl.handle.net/11147/14239
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Uçar, Mahmut | - |
dc.contributor.author | Iheme, Leonardo O. | - |
dc.contributor.author | Önal, Sevgi | - |
dc.contributor.author | Pesen Okvur, Devrim | - |
dc.contributor.author | Yalçın Özuysal, Özden | - |
dc.contributor.author | Töreyin, Behçet Uğur | - |
dc.contributor.author | Ünay, Devrim | - |
dc.date.accessioned | 2024-01-30T09:24:37Z | - |
dc.date.available | 2024-01-30T09:24:37Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 2619-9831 | - |
dc.identifier.uri | https://doi.org/10.5152/electrica.2024.23030 | - |
dc.identifier.uri | https://hdl.handle.net/11147/14239 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | AVES | en_US |
dc.relation.ispartof | Electrica | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Blank frame | en_US |
dc.subject | Intensity variation | en_US |
dc.subject | Phase-Contrast microscopy | en_US |
dc.subject | Video processing | en_US |
dc.subject | Inhomogeneity | en_US |
dc.title | Blank frame and intensity variation distortion detection and restoration pipeline for phase-contrast microscopy time-lapse images | en_US |
dc.type | Article | en_US |
dc.type | Article; Early Access | en_US |
dc.authorid | 0000-0002-9882-132X | - |
dc.authorid | 0000-0001-8333-4193 | - |
dc.authorid | 0000-0003-0552-368X | - |
dc.institutionauthor | Önal, Sevgi | - |
dc.institutionauthor | Pesen Okvur, Devrim | - |
dc.institutionauthor | Yalçın Özuysal, Özden | - |
dc.department | İzmir Institute of Technology. Molecular Biology and Genetics | en_US |
dc.identifier.wos | WOS:001146137000001 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.5152/electrica.2024.23030 | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | embargo_20260101 | - |
item.cerifentitytype | Publications | - |
item.cerifentitytype | Publications | - |
item.openairetype | Article | - |
item.openairetype | Article; Early Access | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | 04.03. Department of Molecular Biology and Genetics | - |
crisitem.author.dept | 04.03. Department of Molecular Biology and Genetics | - |
Appears in Collections: | Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
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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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