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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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Updated: May 30, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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CytoNorm 2.0:一个灵活的细胞检测数据规范化框架,不需要专门的控制.

Katrien L A Quintelier1,2,3, Marcella Willemsen3, Victor Bosteels4,5,6

  • 1Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
|January 28, 2025
PubMed
概括
此摘要是机器生成的。

CytoNorm 2.0 通过提供强大的批量效应去除而不需要技术复制来增强细胞计数据分析. 新功能改善了质量控制,并为更广泛的适用性定制了对实验设计的规范化.

关键词:
这就是CytoNorm.批量效应 批量效应 批量效应数据集成数据集成数据集成规范化的正常化.质量控制质量控制质量控制

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科学领域:

  • 一个单细胞分析.
  • 高维数据分析的高维数据分析.
  • 生物技术是生物技术.

背景情况:

  • 细胞测量是一种高通量技术,用于单细胞分析.
  • 数据采集过程中的技术变化可以引入批量效应.
  • 批量效应使细胞计量数据集的解释变得复杂.

研究的目的:

  • 推出CytoNorm 2.0,这是一个更新的算法,用于规范化细胞计量数据.
  • 展示新的用例和可视化,以改善质量控制.
  • 提高在细胞计测中消除批量效应的适用性和理解.

主要方法:

  • 批量效应校正的 CytoNorm 2.0 算法.
  • 用于标记器选择的FlowSOM集群.
  • 为实验设计量身定制目标分布.
  • 质量控制的新可视化工具.

主要成果:

  • 赛托诺姆2.0有效地消除了细胞计量数据中的批量效应.
  • 该算法可以在没有技术复制或控制的情况下应用.
  • 新的可视化工具有助于理解规范化过程.
  • 可定制的目标分布增强了实验设计的对齐性.

结论:

  • CytoNorm 2.0 提供了一种灵活而强大的解决方案,用于在细胞计测中消除批量效应.
  • 更新版本改善了数据质量控制和用户理解.
  • 扩展的用例增加了算法在各种研究领域的实用性.