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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: Jun 27, 2025

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

Immunophenotyping challenging tissue types using high-dimensional full spectrum flow cytometry.

Laura Ferrer-Font¹, Olivia K Burn², Johannes U Mayer³

¹Hugh Green Cytometry Centre, Malaghan Institute of Medical Research, Wellington, New Zealand.

Methods in Cell Biology

|May 5, 2024

Summary

This summary is machine-generated.

This study presents optimized protocols for full spectrum flow cytometry, enhancing single-cell immune analysis. These methods improve panel design, tissue preparation, and data analysis for complex biological samples.

Keywords:

Assay optimization Full spectrum flow cytometry High-dimensional flow cytometry panel Immunophenotyping Single-cell digestion

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Last Updated: Jun 27, 2025

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Area of Science:

Immunology
Biotechnology
Analytical Chemistry

Background:

Advancements in fluorescence flow cytometry and immunology have enabled complex, high-parameter single-cell analysis.
Full spectrum flow cytometry is increasingly adopted for its ability to capture comprehensive spectral data.
Growing demand necessitates optimized protocols for complex staining panels and challenging tissue types.

Purpose of the Study:

To provide optimized, step-by-step protocols for full spectrum flow cytometry.
To address challenges in panel design, validation, and high-dimensional data analysis.
To optimize tissue preparation methods for high-quality single-cell analysis.

Main Methods:

Development of optimized protocols for full spectrum flow cytometry panel design.
Establishment of refined tissue digestion techniques for single-cell preparation.
Implementation of strategies for panel optimization and validation.

Main Results:

Validated protocols facilitate the analysis of complex immune cell populations using high-parameter flow cytometry.
Optimized tissue preparation ensures sample integrity and representative analysis.
Streamlined workflow enhances the efficiency and accuracy of high-dimensional data analysis.

Conclusions:

The provided protocols enable robust and reproducible full spectrum flow cytometry analysis.
These methods are crucial for advancing the study of complex biological systems and immune responses.
Optimized techniques support researchers in overcoming technical hurdles in single-cell analysis.