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作 者:Wenxuan Liang Gunnsteinn Hall Bernhard Messerschmidt Ming-Jun Li Xingde Li
机构地区:[1]Department of Biomedical Engineering,Johns Hopkins University,Baltimore,MD 21205,USA [2]GRINTECH GmbH,Jena 07745,Germany [3]Science and Technology Division,Corning Incorporated,Corning,NY 14831,USA
出 处:《Light(Science & Applications)》2017年第1期424-430,共7页光(科学与应用)(英文版)
基 金:supported by the National Institutes of Health under a Grant R01CA153023(XL);the National Science Foundation under Grant CBET-1430040(XL);the Individual Biomedical Research Award(XL)from The Hartwell Foundation.
摘 要:This manuscript reports on the first two-photon,label-free,metabolic imaging of biological tissues in vivo at histological resolution on an extremely compact,fiber-optic endomicroscopy platform.This system provides new opportunities for performing noninvasive and functional histological imaging of internal organs in vivo,in situ and in real time.As a routine clinical procedure,traditional histology has made significant impacts on medicine.However,the procedure is invasive and time consuming,suffers random sampling errors,and cannot provide in vivo functional information.The technology reported here features an extremely compact and flexible fiber-optic probe~2 mm in diameter,enabling direct access to internal organs.Unprecedented two-photon imaging quality comparable to a large bench-top laser scanning microscope was achieved through technological innovations in double-clad fiber optics and miniature objective lenses(among many others).In addition to real-time label-free visualization of biological tissues in situ with subcellular histological detail,we demonstrated for the first time in vivo two-photon endomicroscopic metabolic imaging on a functioning mouse kidney model.Such breakthroughs in nonlinear endoscopic imaging capability present numerous promising opportunities for paradigm-shifting applications in both clinical diagnosis and basic research.
关 键 词:functional histology in vivo label-free imaging nonlinear endomicroscopy two-photon metabolic imaging
分 类 号:TN2[电子电信—物理电子学]
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