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相关概念视频

Flow Cytometry01:23

Flow Cytometry

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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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相关实验视频

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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
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双视图传输强度阶段基于成像的流细胞计,用于无标签的细胞分析和分类.

Wei Yu1, Yaxi Li2, Aihui Sun3

  • 1OptiX+ Laboratory, Jiangsu Province Engineering Research Center of Photonic Devices and System Integration for Communication Sensing Convergence, School of Electronics and Information Engineering, Wuxi University, Wuxi, China.

Journal of biophotonics
|September 15, 2025
PubMed
概括
此摘要是机器生成的。

一种新的定量相位成像流动细胞计提供了无标签的细胞分析. 该系统使用强度相成像和微流体的双视图传输来准确地分类细胞.

关键词:
细胞分析细胞分析流动细胞计量是流动细胞计量的方法.阶段成像成像技术的阶段成像.

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科学领域:

  • 生物医学工程 生物医学工程
  • 光学物理学 光学物理学
  • 细胞生物学 细胞生物学

背景情况:

  • 无标签的细胞分析对于生物研究和临床诊断至关重要.
  • 传统的流细胞计通常需要细胞染色,这可能会影响细胞活力并引入人工物.
  • 定量相成像 (QPI) 基于折射率变化提供了无标签的对比度,从而使形态分析成为可能.

研究的目的:

  • 开发和验证基于定量相位成像的流动细胞计,用于无标签的细胞分析和分类.
  • 将强度相成像 (TPI) 的双视图传输与微流体技术在商业显微镜平台上集成.
  • 为了证明系统在提取形态参数以准确分类细胞方面的能力.

主要方法:

  • 该系统使用双视图TPI,通过同时捕捉流动细胞的低焦和过焦图像.
  • 从捕获的图像中重建相位分布,以提取定量形态参数.
  • 微流体通道与商业显微镜集成,用于连续细胞流和成像.
  • 细胞分类是基于使用机器学习算法提取的形态特征进行的.

主要成果:

  • 实现了高精度相位成像,使用标准相位板样本进行验证.
  • 该系统成功地在混合物中区分和分类了不同的细胞类型 (RAW264.7和MC3T3-E1).
  • 从相分布中提取的形态参数使得细胞的强大识别和分类成为可能.
  • 该系统展示了无标签分析能力,不需要外源污染.

结论:

  • 开发的定量相位成像流动细胞计为无标签的细胞分析提供了一个简单,精确和强大的平台.
  • 双视图TPI和微流体的整合为高通量细胞分类提供了重大潜力.
  • 这项技术有望在基础生物学研究,药物发现和临床诊断等领域应用.