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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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Updated: Jul 2, 2026

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues

Published on: September 15, 2021

Compensation in flow cytometry.

Mario Roederer¹

¹Vaccine Research Center NALID, NIH, Bethesda, Maryland, USA.

Current Protocols in Cytometry

|September 5, 2008

Summary

This summary is machine-generated.

This guide explains multi-color flow cytometry compensation, a crucial technique for accurate data analysis. It details compensation principles, application, and verification methods for reliable results.

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Area of Science:

Immunology
Biotechnology
Analytical Chemistry

Background:

Multi-color flow cytometry is a powerful technique for analyzing cells.
Understanding and applying compensation is essential for accurate interpretation of flow cytometry data.
Many users struggle with the principles and practical application of compensation.

Purpose of the Study:

To provide a clear and straightforward explanation of flow cytometry compensation.
To elucidate the factors influencing compensation values and their impact on data visualization.
To guide users on appropriate controls, protocols, and advanced techniques like fluorescence-minus-one gates.

Main Methods:

The study presents a mathematical perspective on compensation in a clear, accessible manner.
It covers both hardware and software-based compensation methods.
Example figures are used extensively to illustrate correct compensation handling.

Main Results:

Compensation corrects for spectral overlap in multi-color flow cytometry.
Proper compensation is vital for accurate quantification and visualization of cell populations.
The manuscript offers practical guidance on setting up and validating compensation.

Conclusions:

Effective compensation is critical for reliable multi-color flow cytometry data.
This resource empowers users to confidently apply and verify compensation settings.
Mastering compensation enhances the precision and interpretability of flow cytometry experiments.