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Cited 3 time in webofscience Cited 3 time in scopus
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dc.contributor.authorLee, Jungbin-
dc.contributor.authorKim, Seonghan-
dc.contributor.authorKim, Jeongho-
dc.contributor.authorSon, Byeong Jae-
dc.contributor.authorYoon, Chang Ho-
dc.contributor.authorKim, Hong Kyun-
dc.contributor.authorKim, Ki Hean-
dc.date.accessioned2022-02-28T06:20:07Z-
dc.date.available2022-02-28T06:20:07Z-
dc.date.created2022-02-25-
dc.date.issued2022-02-
dc.identifier.issn0278-0062-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/109578-
dc.description.abstractConjunctival goblet cells (CGCs) are mucin-secreting cells in the eye and play essential roles for ocular surface homeostasis. Since various ocular surface pathologies are related to CGC dysfunction, CGC examination is important for the evaluation of ocular surface conditions. Recently we introduced moxifloxacin-based fluorescence microscopy (MBFM) for non-invasive CGC imaging. However, the imaging speed was up to 1 frame per second (fps) and needed to be improved for clinical applications. In this study, we developed a high-speed moxifloxacin-based, extended depth-of-field (EDOF) microscopy system that operates at a maximum imaging speed of 15 fps. The system used a deformable mirror for the high-speed axial sweeping of focal plane during single-frame acquisitions. The acquired images contained both in-focus and out-of-focus information, and deconvolution was used to filter the in-focus information. The system had a DOF of 800 μm, field-of-view of 1.2 mm × 1.2 mm, and resolution of 2.3 μm. Its performance was demonstrated by real-time, breathing-motion-insensitive CGC imaging of mouse and rabbit models, in vivo. High-speed EDOF microscopy has potentials for non-invasive, real-time CGC examinations of human subjects.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.isPartOfIEEE Transactions on Medical Imaging-
dc.titleMoxifloxacin-Based Extended Depth-of-Field Fluorescence Microscopy for Real-Time Conjunctival Goblet Cell Examination-
dc.typeArticle-
dc.identifier.doi10.1109/tmi.2022.3151944-
dc.type.rimsART-
dc.identifier.bibliographicCitationIEEE Transactions on Medical Imaging, v.41, no.8, pp.2004 - 2008-
dc.identifier.wosid000837269000009-
dc.citation.endPage2008-
dc.citation.number8-
dc.citation.startPage2004-
dc.citation.titleIEEE Transactions on Medical Imaging-
dc.citation.volume41-
dc.contributor.affiliatedAuthorLee, Jungbin-
dc.contributor.affiliatedAuthorKim, Seonghan-
dc.contributor.affiliatedAuthorKim, Ki Hean-
dc.identifier.scopusid2-s2.0-85124812000-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.type.docTypeArticle-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-

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김기현KIM, KI HEAN
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