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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 31, 2026

Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Published on: January 7, 2019

Analytical capabilities of the ImageStream cytometer.

Ewa K Zuba-Surma¹, Mariusz Z Ratajczak

¹Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.

Methods in Cell Biology

|June 28, 2011

Summary

Imaging cytometry, using the ImageStream system, merges flow cytometry and microscopy for detailed cell analysis. This technology enhances the identification and characterization of stem and progenitor cell populations.

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Area of Science:

Biotechnology
Cell Biology
Analytical Chemistry

Background:

Flow cytometry offers high-throughput cell analysis but lacks detailed imaging.
Fluorescence microscopy provides detailed images but is typically low-throughput.
Imaging cytometry integrates these techniques for enhanced cellular analysis.

Purpose of the Study:

To provide an overview of the imaging cytometry platform.
To highlight the advantages of imaging cytometry for experimental applications.
To demonstrate the utility of the ImageStream cytometer for stem/progenitor cell research.

Main Methods:

Utilizing the ImageStream cytometer, which combines flow cytometry and fluorescence microscopy.
Acquiring multiparameter images of individual cells.
Analyzing large cell populations for statistical robustness.

Main Results:

The ImageStream cytometer enables simultaneous high-throughput and high-content cell analysis.
Established and potential applications of imaging cytometry are discussed.
Unique capabilities for identifying and characterizing stem/progenitor cell subpopulations are illustrated.

Conclusions:

Imaging cytometry represents a significant advancement in cell analysis technologies.
The ImageStream cytometer offers unique advantages for detailed cell subpopulation characterization.
This technology holds promise for stem/progenitor cell research across various biological specimens.