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dc.contributor.authorYang, Xilin
dc.contributor.authorBai, Bijie
dc.contributor.authorZhang, Yijie
dc.contributor.authorAydin, Musa
dc.contributor.authorLi, Yuzhu
dc.contributor.authorSelcuk, Sahan Yoruc
dc.contributor.authorCosta, Paloma Casteleiro
dc.contributor.authorGuo, Zhen
dc.contributor.authorFishbein, Gregory A.
dc.contributor.authorAtlan, Karine
dc.contributor.authorWallace, William Dean
dc.contributor.authorPillar, Nir
dc.contributor.authorOzcan, Aydogan
dc.date.accessioned2025-11-28T07:38:29Z
dc.date.available2025-11-28T07:38:29Z
dc.date.issued2025en_US
dc.identifier.citationYANG, Xilin, Bijie BAI, Yijie ZHANG, Musa AYDIN, Yuzhu LI, Sahan Yoruc SELCUK, Paloma Casteleiro COSTA, Zhen GUO, Gregory A. FISHBEIN, Karine ATLAN, William Dean WALLACE, Nir PILLAR & Aydogan OZCAN. "Deep Learning-based Virtual Birefringence Imaging and Staining of Amyloid Deposits in Label-Free Tissue". 2025 Conference on Lasers and Electro-Optics, CLEO, (2025): AA109_2.en_US
dc.identifier.urihttps://hdl.handle.net/11352/5749
dc.description.abstractWe present virtual birefringence imaging and staining, enabling label-free detection of amyloid deposits in tissue. By transforming autofluorescence images into virtually-stained brightfield and polarization images, this method enhances the accuracy and speed of amyloidosis diagnosis.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1364/CLEO_AT.2025.AA109_2en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.titleDeep Learning-based Virtual Birefringence Imaging and Staining of Amyloid Deposits in Label-Free Tissueen_US
dc.typeconferenceObjecten_US
dc.relation.journal2025 Conference on Lasers and Electro-Optics, CLEOen_US
dc.contributor.departmentFSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorAydin, Musa


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