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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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Updated: Mar 23, 2026

Flow Virometry to Analyze Antigenic Spectra of Virions and Extracellular Vesicles
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Dynamic quantification of antigen molecules with flow cytometry.

A E Moskalensky, A V Chernyshev, M A Yurkin

    Journal of Immunological Methods
    |April 1, 2016
    PubMed
    Summary

    This study introduces a novel flow cytometry method for quantifying antigen molecules by analyzing antibody-antigen binding over time. This dynamic approach overcomes limitations of traditional methods, enabling accurate cell surface antigen measurement without calibration beads.

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    Area of Science:

    • Immunology
    • Biophysics
    • Analytical Chemistry

    Background:

    • Traditional antigen quantification relies on equilibrium-based fluorescence detection, limiting accuracy with low-affinity antibodies.
    • Existing calibration methods have inherent limitations, restricting the broad applicability of flow cytometry for molecule counting.

    Purpose of the Study:

    • To develop and validate a new flow cytometry approach for quantifying antigen molecules on cells.
    • To overcome the limitations of equilibrium-based calibration methods in antigen quantification.

    Main Methods:

    • Utilized flow cytometry to monitor mean fluorescence intensity over time during antibody-antigen binding.
    • Applied a diffusion-reaction mathematical model with nonlinear least squares fitting to experimental data.
    • Compared results with the Quanti-BRITE calibration system for validation.

    Main Results:

    • Developed a method using binding rate constants to quantify antigen molecules, independent of calibration beads.
    • Determined the binding site radius for CD8 antibody molecules, enabling recalculation of binding rates under varying conditions.
    • Successfully demonstrated the method on human blood samples for CD8α antigen quantification on T cells.

    Conclusions:

    • A dynamic, time-resolved flow cytometry method offers accurate antigen quantification without experiment-specific calibration.
    • The binding rate constant approach is versatile, applicable to various antibody affinities and binding conditions.
    • This method provides a robust alternative for cell surface antigen measurement in diverse research settings.