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High-Dimensional Fluorescence Cytometry.

Thomas Myles Ashhurst^1,2,3,4, Adrian Lloyd Smith^2,3, Nicholas Jonathan Cole King^1,2,3,4,5

¹Viral Immunopathology Laboratory, Discipline of Pathology, School of Medical Sciences, Sydney Medical School, The University of Sydney, Sydney, Australia.

Current Protocols in Immunology

|November 2, 2017

Summary

This summary is machine-generated.

This review guides users in building and analyzing high-dimensional fluorescence flow cytometry panels for immune cell analysis. It covers essential principles for constructing quality panels and interpreting complex datasets.

Keywords:

flow cytometry fluorescence high dimensional panel design polychromatic spreading error

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Area of Science:

Immunology
Cell Biology
Biotechnology

Background:

The immune system comprises diverse cells expressing various proteins.
Flow cytometry with fluorophore-conjugated antibodies enables cell analysis.
Increasing immune system complexity drives demand for high-dimensional flow cytometry panels.

Purpose of the Study:

To review principles for constructing high-dimensional flow cytometry panels.
To guide users in building and analyzing quality panels.
To address challenges in high-dimensional data generation and analysis.

Main Methods:

Discussion of key principles for panel design.
Guidance on optimizing panel construction and data analysis.
Consideration of factors like fluorophore properties and antibody selection.

Main Results:

Identification of critical factors for high-dimensional panel construction.
Strategies for overcoming challenges in analyzing complex flow cytometry data.
A comprehensive approach to building and analyzing robust panels.

Conclusions:

Effective high-dimensional panel design is crucial for accurate immune cell analysis.
Understanding principles of fluorophore selection, optimization, and data analysis is essential.
This review provides a framework for successful high-dimensional flow cytometry studies.