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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: Jun 27, 2026

A Microfluidic Technique to Probe Cell Deformability

A Microfluidic Technique to Probe Cell Deformability

Published on: September 3, 2014

Computer-aided analysis of cell interactions under dynamic flow conditions.

Oliver Giegold¹, Ralf J Ludwig, Katja Hardt

¹Pharmazentrum Frankfurt/ZAFES, Clinic of the Goethe University Frankfurt am Main, Frankfurt am Main, Germany.

Experimental Dermatology

|December 5, 2008

Summary

A new, fully computerized analysis method accurately quantifies leukocyte extravasation dynamics. This high-throughput approach significantly reduces analysis time compared to manual or semi-automated methods, advancing research into skin inflammation.

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Published on: July 15, 2013

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Last Updated: Jun 27, 2026

A Microfluidic Technique to Probe Cell Deformability

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Published on: September 3, 2014

A Novel Three-dimensional Flow Chamber Device to Study Chemokine-directed Extravasation of Cells Circulating under Physiological Flow Conditions

A Novel Three-dimensional Flow Chamber Device to Study Chemokine-directed Extravasation of Cells Circulating under Physiological Flow Conditions

Published on: July 15, 2013

Area of Science:

Immunology
Cell Biology
Biophysics

Background:

Leukocyte extravasation, crucial for immune response and inflammation, involves complex cell interactions.
Analyzing these rapid interactions experimentally, particularly tethering and rolling, is challenging.
Existing methods like manual counting and tracking software have limitations in speed and consistency.

Purpose of the Study:

To compare a novel, fully computerized analysis software with established methods for quantifying leukocyte-endothelial cell interactions.
To validate the accuracy and efficiency of the new software in analyzing leukocyte extravasation dynamics.
To assess the potential of the computerized method for high-throughput analysis in inflammation research.

Main Methods:

Comparison of a novel, fully computerized analysis software against manual counting and semi-automated tracking software.
Analysis of defined movies of endothelial-leukocyte interactions under standard flow chamber conditions.
Validation of cell counts and velocity parameters by comparing results from the new software, tracking software, and expert manual counts.

Main Results:

The fully computerized analysis showed no statistical difference in cell counts or velocity parameters compared to manual and tracking methods.
Manual counting exhibited substantial interindividual variations, unlike the automated and tracking software.
The fully computerized method drastically reduced analysis time to under 15 minutes, achieving real-time processing.

Conclusions:

A validated, fully computerized method provides unbiased, examiner-independent, and high-throughput data for analyzing leukocyte extravasation.
This novel approach offers a significant advancement for understanding the cellular mechanisms underlying skin inflammation.
The efficiency and accuracy of the computerized system facilitate progress in immunological and inflammatory research.