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

You might also read

Related Articles

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

Sort by
Same author

Reflecting on Themes From Telehealth Consultations Early in the Pandemic: An Opportunity to Learn From Multiprofessional Colleagues.

International journal of telemedicine and applications·2026
Same author

Diaphragmatic Hernia in a Newborn With COL1A1-Associated Classical Ehlers-Danlos Syndrome.

Case reports in genetics·2025
Same author

The effectiveness of kinesiology taping on dysphagia in brain tumor survivors after neurosurgery: study protocol for a pilot randomized controlled trial.

Frontiers in medicine·2025
Same author

Extension of lifespan by epicatechin, halofuginone and mitoglitazone in male but not female genetically heterogeneous mice.

GeroScience·2025
Same author

Exploring availability of physiotherapy service for people with Parkinson's Disease in Europe: An cross-sectional study.

Clinical rehabilitation·2025
Same author

End-of-life pathology in UM-HET3 mice treated with 16 α‑hydroxyestradiol or late‑start canagliflozin.

GeroScience·2025

Related Experiment Video

Updated: May 14, 2025

Worm-align and Worm_CP, Two Open-Source Pipelines for Straightening and Quantification of Fluorescence Image Data Obtained from Caenorhabditis elegans
11:16

Worm-align and Worm_CP, Two Open-Source Pipelines for Straightening and Quantification of Fluorescence Image Data Obtained from Caenorhabditis elegans

Published on: May 28, 2020

6.0K

findWormz is a user-friendly automated fluorescence quantification method for C. elegans research.

Elizabeth Kitto1, John Dean2, Scott Leiser1

  • 1University of Michigan-Ann Arbor, Ann Arbor, Michigan, United States.

Micropublication Biology
|May 12, 2025
PubMed
Summary

Automate fluorescence quantification in Caenorhabditis elegans (C. elegans) imaging studies. This simple R-based method enhances statistical power for researchers without extensive computational training.

More Related Videos

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains
14:53

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

Published on: May 19, 2011

17.9K
Automated Quantification of Synaptic Fluorescence in C. elegans
12:22

Automated Quantification of Synaptic Fluorescence in C. elegans

Published on: August 10, 2012

10.2K

Related Experiment Videos

Last Updated: May 14, 2025

Worm-align and Worm_CP, Two Open-Source Pipelines for Straightening and Quantification of Fluorescence Image Data Obtained from Caenorhabditis elegans
11:16

Worm-align and Worm_CP, Two Open-Source Pipelines for Straightening and Quantification of Fluorescence Image Data Obtained from Caenorhabditis elegans

Published on: May 28, 2020

6.0K
High-throughput Screening and Biosensing with Fluorescent C. elegans Strains
14:53

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

Published on: May 19, 2011

17.9K
Automated Quantification of Synaptic Fluorescence in C. elegans
12:22

Automated Quantification of Synaptic Fluorescence in C. elegans

Published on: August 10, 2012

10.2K

Area of Science:

  • * Developmental Biology
  • * Genetics
  • * Neuroscience

Background:

  • * Caenorhabditis elegans (C. elegans) is a widely used model organism for fluorescent imaging due to its transparency and genetic tractability.
  • * Manual quantification of fluorescence intensity in C. elegans is time-consuming and limits experimental scale.
  • * Automated image analysis tools exist but can be challenging for non-computational researchers.

Purpose of the Study:

  • * To introduce a simple, accessible method for automating fluorescence quantification in C. elegans.
  • * To reduce the technical barrier for researchers to perform large-scale imaging experiments.
  • * To enhance the statistical power of C. elegans imaging studies.

Main Methods:

  • * Development of a user-friendly R script for automated image analysis.
  • * Method requires installation of the free R program and editing a single line of code.
  • * Focus on simplifying the implementation of automated biological image quantification.

Main Results:

  • * Successful automation of fluorescence intensity quantification in C. elegans.
  • * Demonstration of a method accessible to users with basic R proficiency.
  • * Potential to significantly expedite research applications in C. elegans.

Conclusions:

  • * The developed method provides an accessible solution for automating C. elegans fluorescence quantification.
  • * This approach empowers researchers to increase the scale and statistical power of their imaging experiments.
  • * Simplifies advanced image analysis for a broader range of biological researchers.