Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14239
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dc.contributor.authorUçar, Mahmut-
dc.contributor.authorIheme, Leonardo O.-
dc.contributor.authorÖnal, Sevgi-
dc.contributor.authorPesen Okvur, Devrim-
dc.contributor.authorYalçın Özuysal, Özden-
dc.contributor.authorTöreyin, Behçet Uğur-
dc.contributor.authorÜnay, Devrim-
dc.date.accessioned2024-01-30T09:24:37Z-
dc.date.available2024-01-30T09:24:37Z-
dc.date.issued2024-
dc.identifier.issn2619-9831-
dc.identifier.urihttps://doi.org/10.5152/electrica.2024.23030-
dc.identifier.urihttps://hdl.handle.net/11147/14239-
dc.description.abstractIn 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.isoenen_US
dc.publisherAVESen_US
dc.relation.ispartofElectricaen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlank frameen_US
dc.subjectIntensity variationen_US
dc.subjectPhase-Contrast microscopyen_US
dc.subjectVideo processingen_US
dc.subjectInhomogeneityen_US
dc.titleBlank frame and intensity variation distortion detection and restoration pipeline for phase-contrast microscopy time-lapse imagesen_US
dc.typeArticleen_US
dc.typeArticle; Early Accessen_US
dc.authorid0000-0002-9882-132X-
dc.authorid0000-0001-8333-4193-
dc.authorid0000-0003-0552-368X-
dc.institutionauthorÖnal, Sevgi-
dc.institutionauthorPesen Okvur, Devrim-
dc.institutionauthorYalçın Özuysal, Özden-
dc.departmentİzmir Institute of Technology. Molecular Biology and Geneticsen_US
dc.identifier.wosWOS:001146137000001en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.5152/electrica.2024.23030-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextembargo_20260101-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairetypeArticle; Early Access-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
crisitem.author.dept04.03. 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
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