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Updated: Jul 9, 2025

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
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Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

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基于深度学习的血造干细胞和多能原始细胞的功能亚种群的预测分类

Shen Wang1, Jianzhong Han2, Jingru Huang3

  • 1Lehigh University Department of Mechanical Engineering and Mechanics.

Research square
|November 28, 2023
PubMed
概括

深度学习模型现在只能使用细胞图像来区分造血干细胞 (HSC) 和多能原始细胞 (MPP). 这种人工智能方法也区分了老年人与年轻的HSC,提供了更快的功能评估方法.

关键词:
深度学习是一种深度学习.这是一种Evi1蛋白质.光激活细胞分类 光激活细胞分类美国GFP的GFP是GFP.造血干细胞 造血干细胞 造血干细胞多强大的祖先.这是一种α-Catulin蛋白质.

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Phenotypic Analysis and Isolation of Murine Hematopoietic Stem Cells and Lineage-committed Progenitors12:03

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