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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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Related Experiment Video

Updated: Sep 19, 2025

Determination of the Relative Cell Surface and Total Expression of Recombinant Ion Channels Using Flow Cytometry
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Recommendations for Accurate Target Expression Evaluation by Quantitative Flow Cytometry.

Tamara Lekishvili1, Maxime Moulard2, Sarah Jetzer1

  • 1Molecular Partners AG, Zürich, Switzerland.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|June 16, 2025
PubMed
Summary
This summary is machine-generated.

This study enhances quantitative flow cytometry by identifying key factors affecting antibody binding capacity (ABC) measurements. Recommendations are provided for robust and reproducible antigen expression analysis.

Keywords:
antibody binding capacityquantitative flow cytometryreceptor densitystandardization

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Area of Science:

  • Immunology
  • Cell Biology
  • Biotechnology

Background:

  • Flow cytometry quantifies cellular characteristics like antigen expression.
  • Antibody binding capacity (ABC) is crucial for estimating antigen density and ligand-binding sites.
  • Variability in reported ABC values necessitates assay standardization.

Purpose of the Study:

  • To address challenges in obtaining reproducible quantitative flow cytometry data.
  • To provide methodological recommendations for accurate antigen expression assessment.
  • To identify sources of variation in ABC calculations.

Main Methods:

  • Comprehensive investigation of factors influencing ABC values.
  • Evaluation of instruments (conventional and full-spectrum), antibodies, reagents, matrices, cell density, autofluorescence, and quantitative kits.
  • Implementation of a systematic and integrated approach.

Main Results:

  • Identified primary sources of variation in ABC calculations.
  • Demonstrated assay robustness through longitudinal studies.
  • Established a protocol supporting biomarker evaluation.

Conclusions:

  • Accurate antigen expression analysis requires standardized quantitative flow cytometry methods.
  • Methodological recommendations improve the reliability and reproducibility of ABC values.
  • The established protocol facilitates biomarker evaluation in various contexts.