血管生成
过程(计算)
计算机科学
胚胎干细胞
人工智能
神经科学
生物
细胞生物学
干细胞
基因
生物化学
操作系统
祖细胞
作者
Taiga Irisa,Hang Zhou,Kazuya Fujimoto,Ryuji Yokokawa
标识
DOI:10.1109/mems49605.2023.10052548
摘要
Vasculogenesis, the formation of de novo blood vessels, occurs in several fundamental physiological and pathological processes, including embryonic development, adult angioblast mobilization, and tumor development. Although substantial research has been performed on vasculogenesis, a comprehensive understanding of the morphological changes during the developmental process of vasculature remains elusive. Here, we report a deep learning-based visual methodology in conjugation with a vasculature-on-a-chip model that can recognize and classify the developmental phases of an on-chip vascular network. Combining the unsupervised and supervised learning strategies, three distinct time-dependent morphological phases during vasculogenesis were identified. The temporal variation trajectory of vascular morphology during entire vascularization process was revealed.
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