Optimal combinations of fluorescent vessel labeling and tissue clearing methods for 3D visualization of vasculature

Jingtan Zhu; Yating Deng; Xiaomei Liu; Tingting Yu; Dan Zhu

doi:10.1117/12.2643813

19 December 2022 Optimal combinations of fluorescent vessel labeling and tissue clearing methods for 3D visualization of vasculature

Jingtan Zhu, Yating Deng, Xiaomei Liu, Tingting Yu, Dan Zhu

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Proceedings Volume 12320, Optics in Health Care and Biomedical Optics XII; 123200B (2022) https://doi.org/10.1117/12.2643813
Event: SPIE/COS Photonics Asia, 2022, Online Only

Abstract

3D visualization of the intact vasculature is crucial for understanding the pathogenesis of different neurological and vascular diseases. Although various fluorescent vessel labeling methods have been already used for overall visualization of different vascular networks, little has been done to quantify the labeling performance of each vessel labeling method, as well as their applicability with various clearing protocols. In this study, we systemically compare the labeling performance of four vessel labeling methods on different mouse organs. We also quantitatively evaluate the compatibilities of the four vessel labeling methods with several typical tissue optical clearing methods. Finally, we select the optimal combination of tested vessel labeling and clearing method to perform 3D reconstruction of vascular networks within several typical organs. This study is expected to provide important information for choosing proper pipeline for 3D visualization of different vascular networks.

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Jingtan Zhu, Yating Deng, Xiaomei Liu, Tingting Yu, and Dan Zhu "Optimal combinations of fluorescent vessel labeling and tissue clearing methods for 3D visualization of vasculature", Proc. SPIE 12320, Optics in Health Care and Biomedical Optics XII, 123200B (19 December 2022); https://doi.org/10.1117/12.2643813

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KEYWORDS

3D visualizations

Tissue clearing

3D modeling

Image resolution

Optical clearing

Optical imaging

Pathogens

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