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Flow Cytometry

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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Related Experiment Video

Updated: May 1, 2026

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Published on: May 5, 2017

Optimizing Cell Sorting Performance: A Comparative Study Utilizing Spectral Flow Cytometry.

Jarina Pena DaMata¹, Randall Johnson², Iyadh Douagi¹

¹Flow Cytometry Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology

|April 30, 2026

Summary

This summary is machine-generated.

Optimizing cell sorting for deep immunophenotyping is crucial. This study reveals sort mode impacts collected cell counts, offering strategies to improve yield for rare cell isolation using advanced flow cytometry.

Keywords:

absolute count cell sorting optimization spectral flow cytometry

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Area of Science:

Immunology
Biotechnology
Cell Biology

Background:

Full spectral technology in flow cytometry enhances cell subset definition with more markers.
Cell sorting enables high-throughput single-cell analysis and recovery of rare cells for multi-omics.
Strategies for maximizing cell sorting recovery in deep immunophenotyping require further definition.

Purpose of the Study:

To evaluate cell sorting performance in a six-way simultaneous sort setup.
To assess the impact of different sort decision criteria on cell collection yield.
To optimize conditions for isolating diverse human peripheral blood cell subsets.

Main Methods:

Modified a protocol using counting beads to determine absolute cell counts.
Assessed sort performance across various sort modes in a six-way cell sorter.
Utilized a 35-color panel for deep immunophenotyping of human peripheral blood cells.

Main Results:

The number of collected events can deviate up to 20% from the sort counter's indication, varying by sort mode.
Identified optimal conditions for six-way sorting of multiple human peripheral blood cell subsets.
Delineated specific pitfalls leading to suboptimal cell sorting yield.

Conclusions:

Sort mode significantly influences cell collection efficiency, impacting downstream analysis.
The developed absolute count assay provides a method to refine cell sorting strategies.
Novel insights into optimizing sort performance enable improved isolation of complex and rare cell subsets.