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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

Updated: May 20, 2025

Purification of Specific Cell Population by Fluorescence Activated Cell Sorting FACS
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Purification of Specific Cell Population by Fluorescence Activated Cell Sorting FACS

Published on: July 10, 2010

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使用细胞分类器进行流动细胞计的不确定性量化.

Amudhan Krishnaswamy-Usha1,2, Gregory A Cooksey3, Paul N Patrone1

  • 1Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
|March 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一项新的细胞测量实验,以将仪器噪声与生物变异分开. 该方法量化了仪器特定的变化,没有对噪声源的假设.

关键词:
传真 (FACS) 是一个事实.珠子 珠子 珠子门 门 门 门 这是什么意思排序 分类 排序不确定性量化不确定性量化

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Determination of the Relative Cell Surface and Total Expression of Recombinant Ion Channels Using Flow Cytometry
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Determination of the Relative Cell Surface and Total Expression of Recombinant Ion Channels Using Flow Cytometry

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相关实验视频

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Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry
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科学领域:

  • 流动细胞计量流动细胞计量
  • 仪器化 仪器化 仪器化
  • 生物物理测量测量方法

背景情况:

  • 将仪器噪声与群体变异区分开来,是细胞计学的一个基本挑战.
  • 目前的方法很难将仪器变异性对总测量变化的精确贡献分离出来.
  • 无法多次重新测量相同的粒子使噪声评估复杂化.

研究的目的:

  • 开发一种方法,在细胞测量中将仪器特异变异与群体变异分离开来.
  • 提供累积仪器诱导变化的定量估计.
  • 为了能够在缺乏细胞分类能力的细胞计上进行噪声估计.

主要方法:

  • 一个新的实验,使用细胞分类器来隔离和重新测量粒子的子集.
  • 分析分类后测量的分布,以估计仪器变异性.
  • 应用"局部亲属转换"以将噪声估计转移到非分类细胞计.

主要成果:

  • 展示了一种方法来估计仪器特异变化,而无需对噪声源做出假设.
  • 在多个细胞计和珠子类型中成功量化仪器噪声.
  • 展示了噪声估计的可转移性到不同的细胞计平台.

结论:

  • 拟议的实验方法有效地将仪器噪声与细胞测量中的生物变异分开.
  • 该方法提供了对仪器诱导变量的可靠估计,适用于各种细胞计.
  • 了解和量化仪器噪声对于优化流细胞计数据分析和分类至关重要.