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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.
In...
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相关实验视频

Updated: Jun 28, 2025

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
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使用Python中的FlowSOM进行高效的细胞计量分析可以提高与其他单细胞工具的互操作性.

Artuur Couckuyt1,2, Benjamin Rombaut1,2, Yvan Saeys1,2

  • 1Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.

Bioinformatics (Oxford, England)
|April 17, 2024
PubMed
概括
此摘要是机器生成的。

一个新的Python版本的FlowSOM,一个细胞计量数据集群工具,提供更快的性能和更好的集成与单细胞的数据. 这种增强的实施方法现在可供研究人员使用.

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Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria
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Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

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相关实验视频

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • FlowSOM是用于细胞计量数据分析的广泛使用的集群算法.
  • 现有的实现可能在速度和兼容性上有局限性,与现代单细胞电脑工作流相兼容.

研究的目的:

  • 介绍一个新的,优化的Python实现FlowSOM算法.
  • 为了提高FlowSOM的可用性和性能,用于单细胞数据分析.

主要方法:

  • 为FlowSOM开发一个新的Python包.
  • 与最初的R实现相比,对比性能.
  • 集成到常见的单细胞数据结构.

主要成果:

  • 与R版本相比,Python实现的执行时间明显更快.
  • 改进了兼容性和与当代单细胞omics数据格式的无集成.
  • 保存原来的FlowSOM可视化功能,包括星和饼图.

结论:

  • 新的Python FlowSOM实现为细胞计量数据分析提供了一个更快,更通用的工具.
  • 这种实现有助于对单细胞奥米克数据进行高级分析,支持该领域的研究人员.