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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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智能手机成像流细胞计用于高通量单细胞分析.

Mahmut Kamil Aslan1, Yun Ding1, Stavros Stavrakis1

  • 1Institute for Chemical and Bioengineering, ETH Zurich, 8093 Zürich, Switzerland.

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概括
此摘要是机器生成的。

我们开发了一个便携式智能手机成像流动细胞计 (sIFC) 用于粒子分析. 该设备可通过高分辨率成像和最小的硬件实现精确的粒子计数和细胞分类.

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科学领域:

  • 生物医学工程 生物医学工程
  • 微流体学 微流体学
  • 在光学成像系统中,光学成像

背景情况:

  • 传统的流细胞计需要庞大而昂贵的设备.
  • 需要便携式和具有成本效益的解决方案,用于点的护理诊断和现场应用.

研究的目的:

  • 使用智能手机开发一个便携式成像流动细胞计.
  • 为了实现高吞吐量和实时分类能力的无流动细胞计分析.

主要方法:

  • 集成智能手机,光学框架和PDMS微流体设备.
  • 没有盖子的elasto-惯性聚焦用于粒子操纵.
  • 自定义的Android应用程序与GUI用于用户控制和机器学习集成.

主要成果:

  • 后处理模式实现了颗粒大小在高达67,000颗粒/s.
  • 实时模式分类细胞,准确率为97% (Jurkat) 和93% (EL4),使用机器学习.
  • 提取了具有<700 nm空间分辨率的高分辨率明亮场图像.

结论:

  • 智能手机成像流动细胞计 (sIFC) 是用于粒子计数和细胞分类的具有成本效益和便携性的解决方案.
  • 该系统表现出高精度和分辨率,适合各种应用.
  • 最小的硬件要求使这项技术可用于更广泛的用途.