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Updated: Jan 10, 2026

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循环血液细胞集群的自动分类基于多通道流细胞计成像的自动分类.

Suqiang Ma1, Subhadeep Sengupta2, Yao Lee3

  • 1School of Chemical, Materials, and Biomedical Engineering, University of Georgia, Athens, GA 30602.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括

研究人员开发了一种自动化框架,使用流细胞计分析循环血液细胞群 (CCC). 这种计算工具准确地识别了细胞群及其类型,改善了疾病生物标志物分析.

关键词:
血细胞集群分类血细胞集群分类卷积神经网络是一种卷积神经网络.流细胞计成像成像 流细胞计成像剩余的神经网络 剩余的神经网络视觉转换器 视觉转换器你只看一次,只看一次.

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Flow Cytometry01:23

Flow Cytometry

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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