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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: Sep 18, 2025

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

Spectral Flow Cytometry: The Current State and Future of the Technology.

E A Astakhova^1,2, A S Gubaeva^1,2, D A Naumova^1,2

¹Federal Research Center for Original and Prospective Biomedical and Pharmaceutical Technologies, Baltiyskaya Street 8, 125315 Moscow, Russia.

International Journal of Molecular Sciences

|June 26, 2025

Summary

Spectral flow cytometry enhances cell analysis by reading full fluorescence spectra, enabling deeper immunophenotyping. This advanced technique overcomes limitations of traditional methods, paving the way for more comprehensive cell population studies.

Keywords:

deep immunophenotyping fluorescence spectral flow cytometry spectral unmixing

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Last Updated: Sep 18, 2025

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

Quality-Controlled Sputum Analysis by Flow Cytometry

Quality-Controlled Sputum Analysis by Flow Cytometry

Published on: August 9, 2021

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

Area of Science:

Biotechnology
Cell Biology
Immunology

Background:

Classical flow cytometry is limited by spectral overlap in multicolor panels.
Correction of fluorescent signals is complex and can reduce data accuracy.

Purpose of the Study:

To review the principles and advantages of spectral flow cytometry.
To summarize recent advancements in deep immunophenotyping panels for spectral cytometry.

Main Methods:

Spectral flow cytometry captures the full fluorescence emission spectrum of each fluorophore.
Sophisticated algorithms perform spectral unmixing to separate signals.

Main Results:

Spectral flow cytometry significantly increases the number of detectable markers per panel.
Enables more precise and in-depth analysis of complex cell populations.

Conclusions:

Spectral flow cytometry offers a substantial advantage for big data analysis in cell biology.
Its expanded capabilities are poised to increase adoption in scientific and clinical settings.