Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Flow Cytometry01:23

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

Small-scale biogeography of biofilms and its implications for sequencing-based studies.

ISME communications·2026
Same author

Impacts of dynamic aerosol and pathogen concentrations on risks of Legionella pneumophila for public showers in Switzerland based on a quantitative microbial risk assessment framework.

Water research·2026
Same author

Monitoring <i>Legionella</i> in Drinking Water: Should We Focus on <i>L. pneumophila</i> or All Species to Effectively Protect Public Health?

Environmental science & technology·2025
Same author

Variable inhibition of different <i>Legionella</i> species by antagonistic bacteria.

Applied and environmental microbiology·2025
Same author

Foresight 2035: a perspective on the next decade of research on the management of Legionella spp. in engineered aquatic environments.

FEMS microbiology reviews·2025
Same author

Dynamics of drinking water biofilm formation associated with Legionella spp. colonization.

NPJ biofilms and microbiomes·2024

Related Experiment Video

Updated: May 11, 2026

Imaging Flow Cytometry to Study Microbial Autoaggregation
05:19

Imaging Flow Cytometry to Study Microbial Autoaggregation

Published on: September 29, 2023

Routine bacterial analysis with automated flow cytometry.

Sam Van Nevel1, Stefan Koetzsch2, Hans-Ulrich Weilenmann2

  • 1Laboratory of Microbial Ecology and Technology (LabMET), Ghent University, Coupure Links 653, B-9000 Gent, Belgium.

Journal of Microbiological Methods
|May 21, 2013
PubMed
Summary

Multi-well plate automation enables accurate bacterial flow cytometry for up to 96 samples. Ensure reproducible staining and under 80 minutes measurement time for reliable cell concentration data.

Keywords:
AutomationFlow cytometryHigh throughput analysis

More Related Videos

Single-cell Analysis of Bacillus subtilis Biofilms Using Fluorescence Microscopy and Flow Cytometry
13:28

Single-cell Analysis of Bacillus subtilis Biofilms Using Fluorescence Microscopy and Flow Cytometry

Published on: February 15, 2012

Characterizing Microbiome Dynamics &#8211; Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
09:57

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

Published on: July 12, 2018

Related Experiment Videos

Last Updated: May 11, 2026

Imaging Flow Cytometry to Study Microbial Autoaggregation
05:19

Imaging Flow Cytometry to Study Microbial Autoaggregation

Published on: September 29, 2023

Single-cell Analysis of Bacillus subtilis Biofilms Using Fluorescence Microscopy and Flow Cytometry
13:28

Single-cell Analysis of Bacillus subtilis Biofilms Using Fluorescence Microscopy and Flow Cytometry

Published on: February 15, 2012

Characterizing Microbiome Dynamics &#8211; Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
09:57

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

Published on: July 12, 2018

Area of Science:

  • Microbiology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Flow cytometry is a powerful technique for analyzing microbial populations.
  • Multi-well plate formats are increasingly used to increase throughput in biological assays.
  • Automation in sample handling can improve efficiency and reproducibility.

Purpose of the Study:

  • To evaluate the accuracy and reliability of bacterial flow cytometric analyses using multi-well plate automation.
  • To determine the optimal conditions for automated flow cytometry in microbiology.
  • To assess the impact of automation on key flow cytometric parameters.

Main Methods:

  • Bacterial samples were prepared and stained using a standardized protocol.
  • Automated liquid handling systems were employed for sample processing in 96-well plates.
  • Flow cytometric analysis was performed, measuring cell concentration and fluorescence intensity.
  • Data were analyzed to assess accuracy, reproducibility, and variability.

Main Results:

  • Accurate measurement of bacterial cell concentrations was achieved for up to 96 samples.
  • Reproducible staining protocols and a total measurement time under 80 minutes were critical for accuracy.
  • Some variability was observed in the fluorescence distribution across samples.

Conclusions:

  • Multi-well plate automation is a viable method for high-throughput bacterial flow cytometric analysis.
  • Careful optimization of staining protocols and measurement time is essential for reliable results.
  • Further investigation may be needed to address variability in fluorescence distribution.