Open Access
19 April 2021 Simple methodology to visualize whole-brain microvasculature in three dimensions
Katiana Khouri, Danny F. Xie, Christian Crouzet, Adrian W. Bahani, David H. Cribbs, Mark J. Fisher, Bernard Choi
Author Affiliations +
Abstract

Significance: To explore brain architecture and pathology, a consistent and reliable methodology to visualize the three-dimensional cerebral microvasculature is beneficial. Perfusion-based vascular labeling is quick and easily deliverable. However, the quality of vascular labeling can vary with perfusion-based labels due to aggregate formation, leakage, rapid photobleaching, and incomplete perfusion.

Aim: We describe a simple, two-day protocol combining perfusion-based labeling with a two-day clearing step that facilitates whole-brain, three-dimensional microvascular imaging and characterization.

Approach: The combination of retro-orbital injection of Lectin-Dylight-649 to label the vasculature, the clearing process of a modified iDISCO+ protocol, and light-sheet imaging collectively enables a comprehensive view of the cerebrovasculature.

Results: We observed ∼threefold increase in contrast-to-background ratio of Lectin-Dylight-649 vascular labeling over endogenous green fluorescent protein fluorescence from a transgenic mouse model. With light-sheet microscopy, we demonstrate sharp visualization of cerebral microvasculature throughout the intact mouse brain.

Conclusions: Our tissue preparation protocol requires fairly routine processing steps and is compatible with multiple types of optical microscopy.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Katiana Khouri, Danny F. Xie, Christian Crouzet, Adrian W. Bahani, David H. Cribbs, Mark J. Fisher, and Bernard Choi "Simple methodology to visualize whole-brain microvasculature in three dimensions," Neurophotonics 8(2), 025004 (19 April 2021). https://doi.org/10.1117/1.NPh.8.2.025004
Received: 1 September 2020; Accepted: 17 March 2021; Published: 19 April 2021
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Brain

Visualization

Luminescence

Neuroimaging

3D image processing

Green fluorescent protein

Neurophotonics

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