Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography  

作　　者：Shiyi Cheng Shuaibin Chang Yunzhe Li Anna Novoseltseva Sunni Lin Yicun Wu Jiahui Zhu Ann C.McKee Douglas L.Rosene Hui Wang Irving J.Bigio David A.Bas Lei Tan 

机构地区：[1]Department of Electrical and Computer Engineering,Boston University,Boston,MA 02215,USA [2]Department of Electrical Engineering and Computer Sciences,University of California,Berkeley,CA 94720,USA [3]Department of Biomedical Engineering,Boston University,Boston,MA 02215,USA [4]Department of Computer Science,Boston University,Boston,MA 02215,USA. [5]Boston University Alzheimer's Disease Research Center and CTE Center,Boston University School of Medicine,Boston,MA 02118,USA [6]Department of Neurology,Boston University School of Medicine,Boston,MA 02118,USA [7]VA Boston Healthcare System,U.S.Department of Veteran Affairs,Boston,MA 02130,USA [8]Department of Pathology and Laboratory Medicine,Boston University School of Medicine,Boston,MA 02118,USA [9]Department of Anatomy&Neurobiology,Boston University School of Medicine,Boston,MA,USA [10]Department of Radiology,Athinoula A.Martinos Center for Biomedical Imaging,Massachusetts General Hospital,Boston,MA02129,USA [11]Neurophotonics Center,Boston University,Boston,MA 02215,USA

出　　处：《Light(Science & Applications)》2025年第2期490-508,共19页光(科学与应用)(英文版)

基　　金：funding support from:National Institutes of Health grant R01 EY032163(S.C.,L.T);National Institutes of Health grant U54 NS115266(A.C.M.);National Institutes of Health grant P30 AG072978(A.C.M.);National Institutes of Health grant U19 AG068753(A.C.M.);National Institutes of Health grant R01 NS125307(D.L.R.);National Institutes of Health grant RO1 AG075727(D.L.R.and IJ.B);National Institutes of Health grant RF1 AG062831(D.L.R.);Boston University Kilachand Fund Award(I.J.B.,D.L.R.,D.A.B.,and L.T.);National Institutes of Health grant R00 EB023993(HW);National Institutes of Health grant R01 NS128843(H.W.);National Institutes of Health grant U01 MH117023(S.C.,A.N.,D.A.B.)。

摘　　要：A major challenge in neuroscience is visualizing the structure of the human brain at different scales.Traditional histology reveals micro-and meso-scale brain features but suffers from staining variability,tissue damage,and distortion,which impedes accurate 3D reconstructions.The emerging label-free serial sectioning optical coherence tomography(S-OCT)technique offers uniform 3D imaging capability across samples but has poor histological interpretability despite its sensitivity to cortical features.Here,we present a novel 3D imaging framework that combines S-OCT with a deep-learning digital staining(DS)model.This enhanced imaging modality integrates high-throughput 3D imaging,low sample variability and high interpretability,making it suitable for 3D histology studies.We develop a novel semi-supervised learning technique to facilitate DS model training on weakly paired images for translating S-OCT to Gallyas silver staining.We demonstrate DS on various human cerebral cortex samples,achieving consistent staining quality and enhancing contrast across cortical layer boundaries.Additionally,we show that Ds preserves geometry in 3D on cubic-centimeter tissue blocks,allowing for visualization of meso-scale vessel networks in the white matter.We believe that our technique has the potential for high-throughput,multiscale imaging of brain tissues and may facilitate studies of brain structures.

关 键 词：NEUROSCIENCE machine learning optical coherence tomography digital staining d imaging histological interpretability visualizing structure d reconstructionsthe 

分 类 号：R445.2[医药卫生—影像医学与核医学] R318[医药卫生—诊断学]