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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: Jul 31, 2025

Flow Cytometric Analysis of Multiple Mitochondrial Parameters in Human Induced Pluripotent Stem Cells and Their Neural and Glial Derivatives

Flow Cytometric Analysis of Multiple Mitochondrial Parameters in Human Induced Pluripotent Stem Cells and Their Neural and Glial Derivatives

Published on: November 8, 2021

Assaying Mitochondrial Function by Multiparametric Flow Cytometry.

Hannah C Sheehan¹, Jonathan L Tilly¹, Dori C Woods²

¹Department of Biology, Laboratory for Aging and Infertility Research, Northeastern University, Boston, MA, USA.

Methods in Molecular Biology (Clifton, N.J.)

|May 4, 2023

Summary

This summary is machine-generated.

Flow cytometry now analyzes mitochondria, enabling the separation and study of distinct mitochondrial subpopulations. This fluorescence activated mitochondrial sorting (FAMS) method allows detailed analysis of individual mitochondria.

Keywords:

Analytical tools Flow cytometry Mitochondria Mitochondrial heterogeneity Organelles

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Last Updated: Jul 31, 2025

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Measurement of Mitochondrial Mass and Membrane Potential in Hematopoietic Stem Cells and T-cells by Flow Cytometry

Measurement of Mitochondrial Mass and Membrane Potential in Hematopoietic Stem Cells and T-cells by Flow Cytometry

Published on: December 26, 2019

Area of Science:

Cell Biology
Mitochondrial Biology
Biotechnology

Background:

Flow cytometry is a powerful tool for analyzing cell populations.
Recent advances allow flow cytometry to detect nanoparticles, including mitochondria.
Mitochondria possess distinct subpopulations with varying functional and chemical attributes.

Purpose of the Study:

To present a novel framework for analyzing and sorting mitochondria using flow cytometry.
To enable multiparametric analysis and isolation of specific mitochondrial subpopulations.
To introduce Fluorescence Activated Mitochondrial Sorting (FAMS) as a method for single-mitochondria analysis.

Main Methods:

Utilizing flow cytometry for nanoparticle detection, specifically applied to mitochondria.
Employing fluorescent dyes and antibody labeling to distinguish mitochondrial subpopulations.
Implementing Fluorescence Activated Mitochondrial Sorting (FAMS) for separation and collection of mitochondria.

Main Results:

Demonstrated the ability to analyze and sort mitochondria based on size, membrane potential, and protein expression.
Enabled multiparametric characterization of mitochondrial subpopulations.
Facilitated downstream analysis of sorted individual mitochondria.

Conclusions:

Fluorescence Activated Mitochondrial Sorting (FAMS) provides a robust method for studying mitochondrial heterogeneity.
This technique allows for the isolation and detailed analysis of specific mitochondrial subpopulations.
FAMS advances the field of mitochondrial research by enabling single-organelle resolution.