Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function  

作　　者：Lukas Glandorf Bastian Wittmann Jeanne Droux Chaim Glück Bruno Weber Susanne Wegener Mohamad El Amki Rainer Leitgeb Bjoern Menze Daniel Razansky 

机构地区：[1]Institute of Pharmacology and Toxicology&Institute for Biomedical Engineering,Faculty of Medicine,University of Zurich,Zurich,Switzerland [2]Institute for Biomedical Engineering,Department of Information Technology and Electrical Engineering,ETH Zurich,Zurich,Switzerland [3]Department of Quantitative Biomedicine,University of Zurich,Zurich,Switzerland [4]Department of Neurology,University Hospital Zurich and University of Zurich,Zurich,Switzerland [5]Center for Medical Physics and Biomedical Engineering,Medical University Vienna,Vienna,Austria

出　　处：《Light(Science & Applications)》2024年第12期3210-3223,共14页光(科学与应用)(英文版)

基　　金：funding from the Swiss National Science Foundation(310030_192757);the US National Institutes of Health(RF1-NS126102);Bjoern Menze is supported through a Helmut-Horten-Professorship for Biomedical Informatics by the Helmut Horten Foundation.Bastian Wittmann is supported through the Helmut Horten Foundation.Susanne Wegener acknowledges funding from the Swiss National Science Foundation(310030_200703);the UZH CRPP stroke.The authors appreciate the help of Paul-James Marchand with setting up the OCM system and the fruitful discussions.

摘　　要：Understanding the morphology and function of large-scale cerebrovascular networks is crucial for studying brain health and disease.However,reconciling the demands for imaging on a broad scale with the precision of highresolution volumetric microscopy has been a persistent challenge.In this study,we introduce Bessel beam optical coherence microscopy with an extended focus to capture the full cortical vascular hierarchy in mice over 1000×1000×360μm^(3)field-of-view at capillary level resolution.The post-processing pipeline leverages a supervised deep learning approach for precise 3D segmentation of high-resolution angiograms,hence permitting reliable examination of microvascular structures at multiple spatial scales.Coupled with high-sensitivity Doppler optical coherence tomography,our method enables the computation of both axial and transverse blood velocity components as well as vessel-specific blood flow direction,facilitating a detailed assessment of morpho-functional characteristics across all vessel dimensions.Through graph-based analysis,we deliver insights into vascular connectivity,all the way from individual capillaries to broader network interactions,a task traditionally challenging for in vivo studies.The new imaging and analysis framework extends the frontiers of research into cerebrovascular function and neurovascular pathologies.

关 键 词：BESSEL enable FUNCTION 

分 类 号：O17[理学—数学]