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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: Jul 21, 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

Flow Cytometry: The Next Revolution.

J Paul Robinson^1,2, Raluca Ostafe³, Sharath Narayana Iyengar¹

¹Department of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.

|July 29, 2023

Summary

This summary is machine-generated.

Spectral flow cytometry advances immune system analysis, enabling over 100 parameters. This cytomics breakthrough integrates with multi-omics, transforming biological research and diagnostics.

Keywords:

fluorescence-based cytomics high-throughput analysis microfluidics multiomics single-cell analysis spectral flow cytometry

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Last Updated: Jul 21, 2025

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

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Published on: May 5, 2017

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Area of Science:

Immunology
Biotechnology
Bioinformatics

Background:

Immune system research demands sensitive analytical methods.
Flow cytometry has evolved with technological and informatics advancements.
Traditional flow cytometry faced limitations around 30 parameters.

Purpose of the Study:

To outline current cell analysis and detection methods.
To discuss traditional, microfluidic, and next-generation sorting approaches.
To explore future opportunities in flow cytometry.

Main Methods:

Technological advancements in flow cytometry.
Development of spectral flow cytometry.
Integration of informatics and multi-omics approaches.

Main Results:

Spectral flow cytometry overcomes previous parameter limitations.
Potential for up to 100 simultaneous parameter analyses.
Cytomics is now a key player in multi-omics research.

Conclusions:

Flow cytometry is becoming indispensable in biological laboratories.
Future advances will combine speed with diverse detection methods.
This field is poised for significant future growth and application.