Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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.
In...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Author Correction: Checkpoint blockade immunotherapy reshapes the high-dimensional phenotypic heterogeneity of murine intratumoural neoantigen-specific CD8<sup>+</sup> T cells.

Nature communications·2018

Same author

Multiplex peptide-MHC tetramer staining using mass cytometry for deep analysis of the influenza-specific T-cell response in mice.

Journal of immunological methods·2017

Same author

Checkpoint blockade immunotherapy reshapes the high-dimensional phenotypic heterogeneity of murine intratumoural neoantigen-specific CD8<sup>+</sup> T cells.

Nature communications·2017

Same author

CD161(int)CD8+ T cells: a novel population of highly functional, memory CD8+ T cells enriched within the gut.

Mucosal immunology·2015

Same author

High-dimensional immune profiling of total and rotavirus VP6-specific intestinal and circulating B cells by mass cytometry.

Mucosal immunology·2015

Same author

Measurement of jet shapes in top-quark pair events at [Formula: see text] using the ATLAS detector.

The European physical journal. C, Particles and fields·2015

Same journal

The roles and diversity of alarmins in the mucosae.

Advances in immunology·2026

Same journal

Principles of resident tissue macrophages revealed by the eye.

Advances in immunology·2026

Same journal

Beyond suppression: Treg specialization in infection and tissue repair.

Advances in immunology·2026

Same journal

Ontogeny and function of microglia and nerve-associated macrophages.

Advances in immunology·2025

Same journal

Neuroimmunology beyond the CNS: Nerve-macrophage interactions in peripheral tissues.

Advances in immunology·2025

Same journal

Modulation of humoral immunity by γδ T cells: A potential adjuvant strategy for vaccination.

Advances in immunology·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 20, 2026

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

Deep Profiling Human T Cell Heterogeneity by Mass Cytometry.

Y Cheng¹, E W Newell¹

¹Singapore Immunology Network, Agency of Science, Technology and Research, Singapore, Singapore; School of Biological Science, Nanyang Technological University, Singapore, Singapore.

Advances in Immunology

|May 29, 2016

Summary

This summary is machine-generated.

Mass cytometry and high-dimensional analysis reveal immune cell diversity. This review explores technologies and methods for understanding human T cell heterogeneity and function.

Keywords:

Antigen-specific T cells Bioinformatics CD8(+) T cells Combinatorial tetramer strategy Helper T cells High-dimensional analysis Mass cytometry T cell heterogeneity

More Related Videos

Sample Preparation for Mass Cytometry Analysis

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

Related Experiment Videos

Last Updated: Mar 20, 2026

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

Sample Preparation for Mass Cytometry Analysis

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

Area of Science:

Immunology
Cell Biology
Biotechnology

Background:

Mass cytometry and high-dimensional data analysis have revolutionized cellular immunology.
These technologies enable detailed resolution of immune cell subset diversity and function.

Purpose of the Study:

To review the progress of mass cytometry and high-dimensional cytometric analysis.
To focus on their application in human T cell immunology.

Main Methods:

Review of mass cytometry technology and high-dimensional data analysis.
Discussion of methodology, panel design, and computational algorithms.
Focus on interrogation of immune cell phenotypic and functional diversity.

Main Results:

Mass cytometry has been instrumental in studying diverse cell types, including hematopoietic stem cells and CD8(+) T cells.
Advances facilitate a deeper understanding of T cell heterogeneity.
Current progress in mass cytometry and computational approaches are highlighted.

Conclusions:

Mass cytometry coupled with high-dimensional analysis provides powerful tools for immunological research.
These technologies are crucial for exploring human T cell immunology and diversity.
The review provides insights into experimental approaches and computational strategies.