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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 19, 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.

James H Jett¹, John C Martin, Robert C Habbersett

¹National Flow Cytometry Resource, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA.

Current Protocols in Cytometry

|October 10, 2009

Summary

This summary is machine-generated.

Learn how to ensure accurate flow cytometry data with routine and complete system alignment procedures. These methods guarantee reliable results across various instrument setups for precise scientific analysis.

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Last Updated: Jun 19, 2026

Measuring Erythrocyte Complement Receptor 1 Using Flow Cytometry

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Published on: May 19, 2020

Imaging Flow Cytometry to Study Microbial Autoaggregation

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Published on: September 29, 2023

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Published on: September 15, 2021

Area of Science:

Biotechnology
Analytical Chemistry
Cell Biology

Background:

Flow cytometry is a critical technique for cell analysis.
Accurate data is essential for reliable scientific conclusions.
Instrument performance directly impacts data quality.

Purpose of the Study:

To provide essential knowledge for correct flow cytometer usage.
To ensure accurate and reliable data collection.
To describe system alignment procedures for diverse instruments.

Main Methods:

Describing routine alignment checks.
Detailing complete system alignment.
Applicable to various instrument configurations.

Main Results:

Users gain knowledge for correct flow cytometer operation.
Data accuracy and reliability are ensured through alignment.
Procedures are adaptable to different instrument types.

Conclusions:

Proper system alignment is crucial for dependable flow cytometry data.
Routine and complete alignment methods enhance experimental validity.
This knowledge supports consistent and accurate cell analysis.