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

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

You might also read

Related Articles

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

Sort by
Same author

Effect sizes in human functional neuroimaging.

Research square·2026
Same author

A quasi-stationary distribution bound for fault analysis in gene regulatory networks.

Journal of the Royal Society, Interface·2026
Same author

The Hidden Landscape of Missed Effects in Human Functional Neuroimaging.

bioRxiv : the preprint server for biology·2026
Same author

The Incremental Cluster Threshold-Free Cluster Enhancement Algorithm for Functional Connectivity Analysis.

bioRxiv : the preprint server for biology·2026
Same author

PRISME: A MATLAB Toolbox For Large Data-Driven Multimodal Power Benchmarking.

bioRxiv : the preprint server for biology·2026
Same author

A Quasi-Stationary Distribution Bound for Fault Analysis in Gene Regulatory Networks.

bioRxiv : the preprint server for biology·2025
Same journal

Gene prioritization across ancestries uncovers distinct molecular pathophysiology and therapeutic landscape in polycystic ovary syndrome.

NPJ systems biology and applications·2026
Same journal

A mathematical model of folate-mediated one-carbon metabolism in Down syndrome.

NPJ systems biology and applications·2026
Same journal

A minimal mechanically consistent model of smoothly dividing disk-shaped cells.

NPJ systems biology and applications·2026
Same journal

Virtual twins and the future of human developmental biology.

NPJ systems biology and applications·2026
Same journal

Characterizing open-ended evolution through undecidability mechanisms in random Boolean networks.

NPJ systems biology and applications·2026
Same journal

Resveratrol alleviates intervertebral disc degeneration by regulating ferroptosis of nucleus pulposus cells.

NPJ systems biology and applications·2026
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
09:30

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

28.3K

An Allee-based distributed algorithm for microbial whole-cell sensors.

Fabricio Cravo1,2, Matthias Függer3, Thomas Nowak4,5

  • 1LMF, Université Paris-Saclay, CNRS, ENS Paris-Saclay, Gif-sur-Yvette, France.

NPJ Systems Biology and Applications
|April 22, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel distributed algorithm for microbial whole-cell sensors. The algorithm enables coordinated detection of substances, improving reliability in biomedical applications.

More Related Videos

Assembly and Tracking of Microbial Community Development within a Microwell Array Platform
09:24

Assembly and Tracking of Microbial Community Development within a Microwell Array Platform

Published on: June 6, 2017

9.0K
Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

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

Published on: April 27, 2021

3.7K

Related Experiment Videos

Last Updated: Jun 23, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
09:30

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

28.3K
Assembly and Tracking of Microbial Community Development within a Microwell Array Platform
09:24

Assembly and Tracking of Microbial Community Development within a Microwell Array Platform

Published on: June 6, 2017

9.0K
Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

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

Published on: April 27, 2021

3.7K

Area of Science:

  • Synthetic Biology
  • Biomedical Engineering
  • Computational Biology

Background:

  • Accurate detection of low-concentration substances is crucial for biomedical applications.
  • Microbial whole-cell sensors offer an alternative to traditional detection methods but often operate independently.
  • Coordinated sensing is needed for enhanced reliability and signal amplification.

Purpose of the Study:

  • To analyze a distributed algorithm for coordinating microbial whole-cell sensors.
  • To enable collective reporting of detected substances.
  • To improve the reliability of low-concentration substance detection.

Main Methods:

  • Developed a distributed algorithm inspired by the Allee effect.
  • Modeled cell communication for coordinated state changes (logical 0 to 1).
  • Validated the algorithm using mathematical analysis and computer simulations.

Main Results:

  • The algorithm successfully coordinates microbial whole-cell sensors.
  • A threshold mechanism amplifies the detection signal.
  • The system demonstrates robustness in noisy cellular environments.

Conclusions:

  • The proposed distributed algorithm enhances microbial whole-cell sensor performance.
  • Coordinated sensing provides a reliable method for detecting low-concentration substances.
  • This approach has significant potential for future biomedical sensing applications.