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Related Concept Videos

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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Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
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Multicolor Digital Flow Cytometry in Human Translational Immunology.

Samit R Joshi1,2, Subhasis Mohanty3, Albert C Shaw4

  • 1Section of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, 300 Cedar St., 208056, New Haven, CT, 06520, USA. samit.joshi@yale.edu.

Methods in Molecular Biology (Clifton, N.J.)
|October 1, 2015
PubMed
Summary

Multicolor flow cytometry enables simultaneous analysis of diverse cell types, crucial for immunology studies with limited samples. Standardizing instrument performance ensures accurate data for human cohort research.

Keywords:
Application settingsFlow cytometry panel designFlow cytometry standardizationMulticolor flow cytometryTranslational immunology

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Area of Science:

  • Immunology
  • Cell Biology
  • Biotechnology

Background:

  • Multicolor flow cytometry is vital for analyzing diverse cell lineages and biological pathways in human immunology.
  • Limited sample amounts in studies, especially with older individuals, necessitate efficient analytical methods.
  • Reproducible instrument standardization is critical for accurate comparisons in heterogeneous human subject groups.

Purpose of the Study:

  • To describe procedures for multicolor digital flow cytometry.
  • To share experience in flow cytometry panel design.
  • To present an approach for standardizing instrument performance.

Main Methods:

  • Utilizing multicolor digital flow cytometry techniques.
  • Implementing standardized fluorochrome panel design.
  • Applying procedures for instrument performance standardization using BD Biosciences hardware and software.

Main Results:

  • Generation of accurate and precise data is achievable.
  • Techniques are applicable in various research settings.
  • Standardization ensures reliable results for human cohort studies.

Conclusions:

  • The described procedures facilitate accurate and precise multicolor flow cytometry.
  • Standardization of instrument performance is key for reliable human immunology research.
  • These methods support robust data generation in diverse research environments.