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 Experiment Video

Updated: Jun 28, 2026

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

Determining biological noise via single cell analysis.

Edgar A Arriaga1

  • 1Department of Chemistry, University of Minnesota, Minneapolis, MN, 55455, USA, arriaga@umn.edu

Analytical and Bioanalytical Chemistry
|October 30, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Organotellurium Probes Enable One-step Single-cell Analysis of Post-translational Modification.

Journal of the American Chemical Society·2026
Same author

Reducing Bias in Mass Cytometry Data through Corrections for Spillover and Nonspecific Binding.

Analytical chemistry·2025
Same author

Roots of Innovation in Analytical Chemistry.

Annual review of analytical chemistry (Palo Alto, Calif.)·2025
Same author

Multiparametric identification of putative senescent cells in skeletal muscle via mass cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2024
Same author

Numerical modeling reveals improved organelle separation for dielectrophoretic ratchet migration.

Electrophoresis·2023
Same author

CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis.

Briefings in bioinformatics·2023

Biological noise, arising from molecular variations, impacts cellular heterogeneity. Single-cell analysis techniques are crucial for dissecting intrinsic and extrinsic biological noise in cells.

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Biophysics

Background:

  • Cellular heterogeneity arises from stochastic variations in molecular processes.
  • This variation is quantified as biological noise, encompassing intrinsic and extrinsic factors.
  • Understanding biological noise is key to comprehending cell function and variability.

Purpose of the Study:

  • To review and describe various approaches for quantifying and dissecting biological noise.
  • To highlight the importance of single-cell analysis techniques in noise characterization.
  • To provide an overview of methods used to determine intrinsic and extrinsic noise.

Main Methods:

  • Review of established and emerging single-cell analysis techniques.
  • Discussion of mathematical modeling approaches for biological noise.

More Related Videos

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Flow Cytometry and Single-Cell Analysis for Characterizing Microglia Activation in Early Postnatal Mouse Brain Development
09:48

Flow Cytometry and Single-Cell Analysis for Characterizing Microglia Activation in Early Postnatal Mouse Brain Development

Published on: October 3, 2025

Related Experiment Videos

Last Updated: Jun 28, 2026

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

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Flow Cytometry and Single-Cell Analysis for Characterizing Microglia Activation in Early Postnatal Mouse Brain Development
09:48

Flow Cytometry and Single-Cell Analysis for Characterizing Microglia Activation in Early Postnatal Mouse Brain Development

Published on: October 3, 2025

  • Integration of experimental data with computational analysis for noise dissection.

    • Main Results:

    • Single-cell techniques like flow cytometry and time-lapse microscopy are essential for detailed noise analysis.
    • Mathematical models effectively predict noise in simplified systems.
    • Distinguishing between intrinsic and extrinsic noise provides deeper biological insights.

    Conclusions:

    • Single-cell analysis is indispensable for accurately describing cellular heterogeneity and biological noise.
    • A combination of experimental and computational methods is necessary for comprehensive noise characterization.
    • This review consolidates key approaches for studying biological noise, aiding future research.