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

The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...

You might also read

Related Articles

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

Sort by
Same author

A rapid, high-throughput, viral infectivity assay using automated brightfield microscopy with machine learning.

SLAS technology·2023
Same author

Acute and intensive care nurses' perspectives on suicide prevention with medically hospitalized patients: Exploring barriers, facilitators, interests, and training opportunities.

Journal of advanced nursing·2023
Same author

Clinical Impact and Generalizability of a Computer-Assisted Diagnostic Tool to Risk-Stratify Lung Nodules With CT.

Journal of the American College of Radiology : JACR·2022
Same author

Ribosomal protein L5 facilitates rDNA-bundled condensate and nucleolar assembly.

Life science alliance·2022
Same author

A data science approach to 138 years of congressional speeches.

Heliyon·2020
Same author

Computational analysis of morphological and molecular features in gastric cancer tissues.

Cancer medicine·2020

Related Experiment Video

Updated: Jun 19, 2026

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
09:10

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging

Published on: January 30, 2026

Quantitative measurement of aging using image texture entropy.

Lior Shamir1, Catherine A Wolkow, Ilya G Goldberg

  • 1Laboratory of Genetics, National Institute on Aging/NIH, 251 Bayview Boulevard, Baltimore, MD 21224, USA. shamirl@mail.nih.gov

Bioinformatics (Oxford, England)
|October 8, 2009
PubMed
Summary

Image texture entropy quantifies aging in Caenorhabditis elegans (C. elegans) by measuring muscle tissue deterioration. Entropy increases with age, revealing distinct aging stages driven by developmental pathways.

More Related Videos

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence
08:54

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence

Published on: May 26, 2023

In Vivo Quantification of Protein Turnover in Aging C. Elegans using Photoconvertible Dendra2
09:45

In Vivo Quantification of Protein Turnover in Aging C. Elegans using Photoconvertible Dendra2

Published on: June 13, 2020

Related Experiment Videos

Last Updated: Jun 19, 2026

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
09:10

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging

Published on: January 30, 2026

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence
08:54

A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence

Published on: May 26, 2023

In Vivo Quantification of Protein Turnover in Aging C. Elegans using Photoconvertible Dendra2
09:45

In Vivo Quantification of Protein Turnover in Aging C. Elegans using Photoconvertible Dendra2

Published on: June 13, 2020

Area of Science:

  • Biogerontology
  • Molecular Biology
  • Developmental Biology

Background:

  • Understanding aging in Caenorhabditis elegans (C. elegans) requires objective quantification of morphological changes.
  • Image texture entropy is proposed as an objective measure for structural deterioration in C. elegans muscle tissues during aging.

Purpose of the Study:

  • To utilize image texture entropy for objective quantification of C. elegans aging.
  • To correlate texture entropy changes with C. elegans aging stages and underlying mechanisms.

Main Methods:

  • Microscopy images of 50 C. elegans individuals were analyzed at various adult life stages (Days 0-12).
  • Texture entropy and directionality of muscle tissues were measured using Haralick and Tamura methods.
  • Image data and source code are publicly available online.

Main Results:

  • Texture entropy of C. elegans pharyngeal tissues increases with age.
  • Sharper increases in entropy were observed between Days 2-4 and Days 8-10 of adulthood.
  • Results align with gene expression data, suggesting distinct aging stages.

Conclusions:

  • C. elegans aging exhibits distinct stages, potentially driven by developmental pathways rather than random damage accumulation.
  • Image texture entropy serves as a valuable tool for objective aging assessment in C. elegans.
  • The findings contribute to understanding the biological mechanisms of aging.