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Development of an Automated Morphometric Approach to Assess Vascular Outcomes following Exposure to Environmental Chemicals in Zebrafish.

Xiali ZhongJunzhou ChenZhuyi ZhangQicheng ZhuDi JiWeijian KeCongying NiuCan WangNan ZhaoWenquan ChenKunkun JiaQian LiuMaoyong SongChunqiao LiuYanhong Wei
Published in: Environmental health perspectives (2024)
This study provides a novel paradigm for phenotype-driven screenings of vascular-disrupting chemicals by converging morphological and transcriptomic profiles at a high-resolution level, serving as a powerful tool for large-scale toxicity tests. Our approach and the high-quality morphometric data facilitate the precise evaluation of vascular effects caused by environmental chemicals. https://doi.org/10.1289/EHP13214.
Keyphrases
  • high resolution
  • oxidative stress
  • electronic health record
  • single cell
  • machine learning
  • life cycle
  • high speed
  • oxide nanoparticles