斑马鱼
转基因
血管网
胚胎
拓扑(电路)
转基因小鼠
解剖
生物
计算机科学
细胞生物学
基因
数学
遗传学
组合数学
作者
Chong Chen,Yujun Tang,Yao Tan,Linbo Wang,Hui Li
摘要
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.
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