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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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Flow cytometry.

M G Ormerod1, P R Imrie

  • 1The Haddow Laboratories, Institute of Cancer Research, Surrey, UK.

Methods in Molecular Biology (Clifton, N.J.)
|March 5, 2011
PubMed
Summary

This chapter details sample preparation and analysis for flow cytometry, a powerful cell analysis technique. Proper sample prep and analysis are crucial for accurate results and cell sorting applications.

Area of Science:

  • Biotechnology
  • Cell Biology
  • Analytical Chemistry

Background:

  • Commercial flow cytometers share basic principles but vary in design and alignment methods.
  • Effective cell analysis and sorting rely on robust sample preparation and data interpretation.
  • Microcomputers are essential for analyzing complex multi-parametric flow cytometry data.

Purpose of the Study:

  • To outline procedures for preparing samples for flow cytometry analysis.
  • To provide guidance on important features of flow cytometry data analysis.
  • To discuss the application of flow cytometry in cell sorting, emphasizing sample preparation and analysis.

Main Methods:

  • Focuses on sample preparation techniques applicable to various flow cytometer instruments.

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  • Describes key considerations for analyzing flow cytometry data, assuming access to computational resources.
  • Highlights the importance of sample quality for achieving good cell separation in sorting applications.

    • Main Results:

    • Provides a framework for sample preparation and analysis applicable to diverse flow cytometry setups.
    • Emphasizes the critical role of sample quality and computational analysis in achieving reliable flow cytometry outcomes.
    • Discusses the foundational aspects of flow cytometry analysis relevant to cell sorting.

    Conclusions:

    • Effective flow cytometry requires meticulous sample preparation and appropriate analytical strategies.
    • The principles discussed are vital for maximizing the utility of flow cytometry, particularly for cell sorting.
    • Adequate computational resources are indispensable for comprehensive multi-parametric flow cytometry data analysis.