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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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: Jul 2, 2026

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
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Published on: March 5, 2019

Data file standard for flow cytometry, FCS 3.0.

L Seamer1

  • 1University of New Mexico, Albuquerque, New Mexico, USA.

Current Protocols in Cytometry
|September 5, 2008
PubMed
Summary
This summary is machine-generated.

The Flow Cytometry Standard (FCS) 3.0 file format was developed to enable data sharing and standardization across different laboratories and instruments. This ensures consistent data formats for improved research collaboration.

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Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry
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Last Updated: Jul 2, 2026

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
10:58

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry

Published on: March 5, 2019

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
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Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

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Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry
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Area of Science:

  • Biotechnology
  • Data Science
  • Analytical Chemistry

Background:

  • Data sharing is crucial for scientific advancement.
  • Lack of standardized data formats hinders inter-laboratory collaboration.
  • Instrument-specific data formats create compatibility issues.

Purpose of the Study:

  • To introduce the Flow Cytometry Standard (FCS) 3.0 file format.
  • To facilitate seamless data exchange among research laboratories.
  • To establish uniformity in data formats from diverse instruments.

Main Methods:

  • Development of the FCS 3.0 data file format.
  • Specification of data structure and content for flow cytometry data.
  • Guidelines for implementation across various instruments.

Main Results:

  • A standardized data file format (FCS 3.0) is available.
  • The format supports data sharing and interoperability.
  • Uniformity in data representation from different flow cytometers is achieved.

Conclusions:

  • FCS 3.0 promotes efficient data sharing in flow cytometry research.
  • Standardization enhances reproducibility and collaboration.
  • The format addresses the need for universal data compatibility.