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

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

doi:10.1038/s41377-024-01649-1

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

Original Articles

- Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function
- Light: Science & Applications Vol. 13, Issue 12, Pages: 3210-3223(2024)
- Affiliations：
  
  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
- Author bio：
  
  Daniel Razansky (daniel.razansky@uzh.ch)
- Funds：
- DOI：10.1038/s41377-024-01649-1
  CLC：
- Published：31 December 2024，
  
  Published Online：11 November 2024，
  
  Received：15 March 2024，
  
  Revised：04 September 2024，
  
  Accepted：18 September 2024
- Accepted：
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Glandorf, L. et al. Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function. Light: Science & Applications, 13, 3210-3223 (2024).
DOI：

Glandorf, L. et al. Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function. Light: Science & Applications, 13, 3210-3223 (2024). DOI： 10.1038/s41377-024-01649-1.

摘要

Abstract

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 high-resolution 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 × 360 μm

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

Keywords

references

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