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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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幽灵细胞测量

Sadao Ota1,2,3, Ryoichi Horisaki3,4, Yoko Kawamura5,2

  • 1Thinkcyte Inc., 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan. sadaota@solab.rcast.u-tokyo.ac.jp.

Science (New York, N.Y.)
|June 16, 2018
PubMed
概括
此摘要是机器生成的。

幽灵细胞测量采用单像素检测器和计算方法,在没有传统检测器的情况下对细胞进行成像. 这种新的技术使得单纯基于形态的高通量细胞分类和分类成为可能.

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科学领域:

  • 生物光子学
  • 细胞成像
  • 计算生物学

背景情况:

  • 传统的流细胞测量依赖于空间分辨的检测器进行细胞分析.
  • 在没有生物标志物的情况下,基于形态的高吞吐量细胞分类和分类仍然具有挑战性.

研究的目的:

  • 介绍一个无图像的超快速光成像细胞计.
  • 用幽灵细胞测量来证明无标签的细胞形态分析和分类.

主要方法:

  • 使用单像素探测器和静态随机光学图案的幽灵成像原理.
  • 通过压缩将细胞运动中的空间信息转换为序列信号.
  • 通过时间波形和模式强度进行细胞形态的计算重建.
  • 在压缩波形上直接应用机器学习进行无图像细胞计量.

主要成果:

  • 细胞形态的成功计算重建.
  • 使用压缩数据的机器学习证明了有效的,无图像的,基于形态的细胞计量.
  • 基于形态的精确和高通量细胞分类和选择性分类.
  • 展示了无标签细胞分析的潜力,克服了传统方法的局限性.

结论:

  • 幽灵细胞测量为细胞分析提供了一个紧,廉价和有效的替代方案.
  • 这种技术可以实现高吞吐量,生物标志物独立的细胞分类和分类.
  • 无图像的幽灵细胞测量推进了超快的光成像和细胞测量应用.