Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1997
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dc.contributor.authorAydeniz, Burhan-
dc.contributor.authorMetin, Safa Can-
dc.contributor.authorTurkan, Mehmet-
dc.contributor.authorUnay, Devrim-
dc.contributor.authorKarayannis, Theofanis-
dc.contributor.authorArgunsah, Ali Ozgur-
dc.date.accessioned2023-06-16T14:31:08Z-
dc.date.available2023-06-16T14:31:08Z-
dc.date.issued2022-
dc.identifier.isbn978-1-6654-5432-2-
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO56568.2022.9960191-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/1997-
dc.descriptionMedical Technologies Congress (TIPTEKNO) -- OCT 31-NOV 02, 2022 -- Antalya, TURKEYen_US
dc.description.abstractTwo-photon Laser Scanning Microscopy (2P-LSM) is a technique used to image the living tissue with relatively high spatio-temporal resolution. However, the time-series images are often corrupted with Poisson-Gaussian noise and deteriorated with motion artifacts. This paper deals with the problem of enhancing 2P-LSM images to reconstruct high quality and high spatial-resolution outputs using the observed time-series stack of low-resolution images. The proposed technique consists of several components including noise filtering, image registration, cell detection and focus measurement, and clustering for a joint denoising and super-resolution. Extensive experiments demonstrate that the proposed method results in gratifying output images containing apparent and clear cell forms at different focus levels.en_US
dc.description.sponsorshipBiyomedikal Klinik Muhendisligi Dernegi,Izmir Ekonomi Univen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2022 Medıcal Technologıes Congress (Tıptekno'22)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTwo-photon laser scanning microscopyen_US
dc.subjectdenoisingen_US
dc.subjectsuper-resolutionen_US
dc.subjectclusteringen_US
dc.subjectMicroscopyen_US
dc.subjectFocusen_US
dc.subjectShapeen_US
dc.titleEnhancing Two-Photon Images for Anatomical Visualisation using Super-Resolutionen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/TIPTEKNO56568.2022.9960191-
dc.identifier.scopus2-s2.0-85144081696en_US
dc.departmentİzmir Ekonomi Üniversitesien_US
dc.authoridTurkan, Mehmet/0000-0002-9780-9249-
dc.authorwosidTurkan, Mehmet/AGQ-8084-2022-
dc.authorscopusid57209740516-
dc.authorscopusid58018091300-
dc.authorscopusid57219464964-
dc.authorscopusid55922238900-
dc.authorscopusid16230781100-
dc.authorscopusid24723512300-
dc.identifier.wosWOS:000903709700046en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.grantfulltextreserved-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.dept05.06. Electrical and Electronics Engineering-
crisitem.author.dept05.02. Biomedical Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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