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Issues for quality assurance in clinical flow cytometry.

R C McCarthy1, T J Fetterhoff

  • 1Boehringer Mannheim Corp, Biochemistry Research and Development Division, Indianapolis, IN 46250.

Archives of Pathology & Laboratory Medicine
|June 1, 1989
PubMed
Summary

This review covers quality assurance for flow cytometry, focusing on preanalytic and analytic factors impacting nucleic acid staining results. It details instrument controls, biological variables, and reagent, method, and instrument factors for accurate interpretation.

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Area of Science:

  • Clinical Laboratory Science
  • Immunology
  • Molecular Biology

Background:

  • Flow cytometry is increasingly used in clinical labs for cell analysis.
  • Existing literature often focuses on analytical performance of immunofluorescent and DNA staining assays.
  • Quality assurance encompasses preanalytic, analytic, and postanalytic phases, extending beyond method performance.

Purpose of the Study:

  • To review preanalytic and analytic factors influencing flow cytometry results for nucleic acid-stained cells.
  • To highlight the importance of comprehensive quality assurance in flow cytometry.
  • To provide guidance on interpreting flow cytometry data by addressing potential sources of error.

Main Methods:

  • Literature review focusing on preanalytic and analytic factors in flow cytometry.

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  • Discussion of controls for assessing instrument performance.
  • Analysis of biological, reagent, methodological, and instrumental variables.

    • Main Results:

    • Identified key preanalytic factors affecting flow cytometry data.
    • Detailed analytic factors including reagent stability, staining protocols, and instrument calibration.
    • Emphasized the role of appropriate controls in ensuring reliable results.

    Conclusions:

    • Comprehensive quality assurance is crucial for accurate flow cytometry.
    • Understanding preanalytic and analytic variables is essential for reliable interpretation of nucleic acid staining results.
    • Adherence to standardized procedures and robust quality control measures improves diagnostic accuracy.