ArticleBiomedical optics express2022
Optimized U-Net model for 3D light-sheet image segmentation of zebrafish trunk vessels.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Linking preclinical models with functional imaging and artificial intelligence to decode tumor angiogenesis.Pharmacological reports : PR · 2026Review
- Deep Learning Integration in Optical Microscopy: Advancements and Applications.Microscopy research and technique · 2026Review
- Zebrafish as a vertebrate model for high-throughput drug toxicity screening: Mechanisms, novel techniques, and future perspectives.Journal of pharmaceutical analysis · 2025Review
- Quantifying the relationship between cell proliferation and morphology during development of the face.Development (Cambridge, England) · 2025Article
- Article
- Quantitative characterization of zebrafish development based on multiple classifications using Mueller matrix OCT.Biomedical optics express · 2023Article
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Authors and funding
5 authors.
Funding
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Abstract
The growth of zebrafish's vessels can be used as an indicator of the vascular development process and to study the biological mechanisms. The three-dimensional (3D) structures of zebrafish's trunk vessels could be imaged by state-of-art light-sheet fluorescent microscopy with high efficiency. A large amount of data was then produced. Accurate segmentation of these 3D images becomes a new bottleneck for automatic and quantitative analysis. Here, we propose a Multi-scale 3D U-Net model to perform the segmentation of trunk vessels. The segmentation accuracies of 82.3% and 83.0%, as evaluated by the IoU (Intersection over Union) parameter, were achieved for intersegmental vessels and the dorsal longitudinal anastomotic vessels respectively. The growth of zebrafish vasculature from 42-62 hours was then analyzed quantitatively.
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