Affiliation:
1. University of Science and Technology of China
Abstract
Quantitative analysis of zebrafish cerebral vasculature is essential for the study of vascular development and disease. We developed a method to accurately extract the cerebral vasculature topological parameters of transgenic zebrafish embryos. The intermittent and hollow vascular structures of transgenic zebrafish embryos, obtained from 3D light-sheet imaging, were transformed into continuous solid structures with a filling-enhancement deep learning network. The enhancement enables the extraction of 8 vascular topological parameters accurately. Quantitation of the zebrafish cerebral vasculature vessels with the topological parameters show a developmental pattern transition from 2.5 to 5.5 dpf.
Funder
National Natural Science Foundation of China
Jiangsu Provincial Key Research and Development Program
Strategic Priority Research Program of Chinese Academy of Sciences
Subject
Atomic and Molecular Physics, and Optics,Biotechnology
Cited by
2 articles.
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