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Updated: Jun 8, 2025

Microfluidic Buffer Exchange for Interference-free Micro/Nanoparticle Cell Engineering
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深度学习辅助的无标签并行细胞分类使用数字微流体学

Zongliang Guo1, Fenggang Li1, Hang Li2

  • 1Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|November 5, 2024
PubMed
概括

一种新的无标签细胞分类方法使用深度学习和微流体学来根据形态区分细胞. 这种技术实现了高精度和纯度,使先进的诊断和研究.

关键词:
人工智能的人工智能是人工智能.细胞分类 细胞分类数字微流体技术的发展滴滴滴滴滴滴滴滴滴滴滴滴滴滴滴滴滴没有标签的 label-free.单细胞研究的研究.

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Flow Cytometry01:23

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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