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Related Experiment Videos

Spectral compensation for flow cytometry: visualization artifacts, limitations, and caveats.

M Roederer1

  • 1Vaccine Research Center, NIH, Bethesda, Maryland 20892-3015, USA. Roederer@drmr.com

Cytometry
|December 18, 2001
PubMed
Summary

Multicolor flow cytometry compensation errors, caused by photon statistics and measurement issues, create data artifacts. Computer-assisted analysis and fluorescence minus one (FMO) controls are essential for accurate interpretation.

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Area of Science:

  • Immunology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Multicolor flow cytometry requires spectral compensation for overlapping signals.
  • Standard compensation methods often produce unexpected data distributions in complex multicolor analysis.
  • Apparent undercompensation and inability to reduce data to autofluorescence levels are common issues.

Purpose of the Study:

  • To investigate the sources of apparent errors in compensated multicolor flow cytometry data.
  • To explain the artifacts observed in compensated data, particularly in red/far-red fluorochromes.
  • To provide guidance on accurate data analysis and interpretation in multicolor flow cytometry.

Main Methods:

  • Developed a mathematical model incorporating photon intensities, spillover, measurement errors, and data storage.

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  • Collected immunofluorescently stained cell data under high spillover and limited light collection conditions.
  • Confirmed model predictions with experimental flow cytometry data.

    • Main Results:

    • Photon-counting statistics introduce nonlinear errors, while measurement and binning errors add linear errors to compensated parameters.
    • Errors are exacerbated by low-intensity fluorochromes (red/far-red) and high inter-detector spillover.
    • These errors lead to visualization artifacts, misinterpretation of data, and the appearance of undercompensation.

    Conclusions:

    • Inescapable measurement and statistical errors cause data spreading, precluding simple gating and visual compensation adjustment.
    • Standard graphical interfaces are insufficient for proper compensation; computer-assisted methods are required.
    • Fluorescence minus one (FMO) controls are necessary for accurate identification of positive events in complex multicolor staining panels.