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

Attention maps reveal stimulus-dependent retinal population codes.

Frontiers in computational neuroscience·2026

Same author

Association of standard postoperative day 1 discharge following endonasal surgery for pituitary adenoma with lower complication rates and unplanned medical care.

Journal of neurosurgery·2026

Same author

Mass production of IgY-containing tablets for COVID-19 transmission control.

Scientific reports·2025

Same author

An LLM-based hybrid approach for enhanced automated essay scoring.

Scientific reports·2025

Same author

Economically Feasible Mass Production of Egg Yolk Powder Tablets (Chicken IgY) for Global COVID-19 Transmission Prevention.

Research square·2025

Same author

Identification of mechanistic CKD biomarkers in a rat SNx kidney fibrosis model by transcriptomics and proteomics detectable in biofluids.

Scientific reports·2025

Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 21, 2025

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

Escherichia coli Chromosome Copy Number Measurement Using Flow Cytometry Analysis.

Michelle Hawkins¹, John Atkinson², Peter McGlynn³

¹Department of Biology, University of York, York, UK. michelle.hawkins@york.ac.uk.

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

|May 31, 2022

Summary

This summary is machine-generated.

Flow cytometry, a high-throughput method, measures cell size and number. This study details using flow cytometry to quantify DNA content in Escherichia coli, advancing microbial analysis.

Keywords:

Chromosome DnaA Escherichia coli Flow cytometry Genome content Genome copy number Replication

More Related Videos

Determination of the Optimal Chromosomal Locations for a DNA Element in Escherichia coli Using a Novel Transposon-mediated Approach

Determination of the Optimal Chromosomal Locations for a DNA Element in Escherichia coli Using a Novel Transposon-mediated Approach

Published on: September 11, 2017

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Related Experiment Videos

Last Updated: Sep 21, 2025

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

Determination of the Optimal Chromosomal Locations for a DNA Element in Escherichia coli Using a Novel Transposon-mediated Approach

Determination of the Optimal Chromosomal Locations for a DNA Element in Escherichia coli Using a Novel Transposon-mediated Approach

Published on: September 11, 2017

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Area of Science:

Microbiology
Cell Biology
Biotechnology

Background:

Flow cytometry is a powerful technique for analyzing individual cells at high throughput.
It measures cell characteristics like size and number by detecting scattered light as cells pass through a laser beam.
Fluorescent labeling enables quantification of specific molecules within cells.

Purpose of the Study:

To describe the application of flow cytometry for assessing DNA content in Escherichia coli.
To demonstrate a method for quantifying microbial DNA using flow cytometry.

Main Methods:

Utilizing flow cytometry to analyze individual Escherichia coli cells.
Measuring scattered light to determine cell size and number.
Quantifying DNA content per cell using fluorescent reporters.

Main Results:

Successfully applied flow cytometry to estimate DNA content in Escherichia coli.
Demonstrated the feasibility of quantifying DNA in bacterial populations.

Conclusions:

Flow cytometry is an effective method for assessing bacterial DNA content.
This technique offers a high-throughput approach for microbial genetic analysis.