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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 2, 2026

Measuring Erythrocyte Complement Receptor 1 Using Flow Cytometry

Measuring Erythrocyte Complement Receptor 1 Using Flow Cytometry

Published on: May 19, 2020

Techniques for flow cytometer alignment.

J H Jett¹, J C Martin, R C Habbersett

¹Los Alamos National Laboratory, Los Alamos, New Mexico, USA.

Current Protocols in Cytometry

|September 5, 2008

Summary

This summary is machine-generated.

Learn how to ensure accurate flow cytometry data with routine and complete system alignment. This guide applies to various instrument configurations for reliable results.

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Last Updated: Jul 2, 2026

Measuring Erythrocyte Complement Receptor 1 Using Flow Cytometry

Measuring Erythrocyte Complement Receptor 1 Using Flow Cytometry

Published on: May 19, 2020

Imaging Flow Cytometry to Study Microbial Autoaggregation

Imaging Flow Cytometry to Study Microbial Autoaggregation

Published on: September 29, 2023

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Area of Science:

Biotechnology
Analytical Chemistry
Cell Biology

Background:

Flow cytometry is a powerful technique for cell analysis.
Accurate data is crucial for reliable experimental outcomes.
Instrument performance can drift over time, affecting data quality.

Purpose of the Study:

To provide essential knowledge for the correct use of any flow cytometer.
To ensure accurate and reliable data collection.
To describe methods for maintaining optimal instrument performance.

Main Methods:

Describes two levels of system alignment: routine checks and complete alignment.
Applicable to a variety of flow cytometer configurations.
Focuses on practical procedures for data quality assurance.

Main Results:

Users will gain knowledge to correctly operate flow cytometers.
Implementation of alignment procedures ensures data accuracy.
Reliable experimental data can be obtained through proper instrument setup.

Conclusions:

Proper system alignment is fundamental for accurate flow cytometry.
Routine and complete alignment protocols enhance data reproducibility.
This unit serves as a key resource for flow cytometry users seeking reliable data.