Search research articles

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same journal

Enhanced drug-disease association prediction through representation learning on similarity networks.

Biology methods & protocols·2026

Same journal

Transmission electron microscopy of cultured cells: Optimized protocols for ultrastructural studies and post-embedding immunogold labeling.

Biology methods & protocols·2026

Same journal

Cannabinoid GPCRs, ectopic olfactory GPCRs and TRP channels: a prespecified baseline-edit-rescue framework for testing higher-order membrane-conditioned integration.

Biology methods & protocols·2026

Same journal

Gap junction communication regulates luminal-myoepithelial crosstalk and cell differentiation in a bilayered human mammary epithelial cell model.

Biology methods & protocols·2026

Same journal

Nonlinear combinatorial analysis of blood transcriptomes identifies PRKAR1A as a regulator of TDP-43 pathophysiology in amyotrophic lateral sclerosis.

Biology methods & protocols·2026

Same journal

Assessing the feasibility of machine learning for ancient DNA age prediction: Limitations and insights.

Biology methods & protocols·2026

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Dec 26, 2025

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

A new method for measuring the size of nematodes using image processing.

David G H Andrews¹

¹School of Engineering, Technology and Design, Canterbury Christ Church University, North Holmes Road, Canterbury CT1 1QU, UK.

Biology Methods & Protocols

|March 13, 2020

Summary

This summary is machine-generated.

This study presents a simple, cost-effective method for measuring nematode size using ImageJ software. The technique quantifies length, volume, and surface area from photographs, aiding research on model organisms like Caenorhabditis elegans.

Keywords:

nematode image processing size

More Related Videos

Visualizing Bacteria in Nematodes using Fluorescent Microscopy

Visualizing Bacteria in Nematodes using Fluorescent Microscopy

Published on: October 19, 2012

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Published on: July 5, 2019

Related Experiment Videos

Last Updated: Dec 26, 2025

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Visualizing Bacteria in Nematodes using Fluorescent Microscopy

Visualizing Bacteria in Nematodes using Fluorescent Microscopy

Published on: October 19, 2012

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Published on: July 5, 2019

Area of Science:

* Nematology
* Developmental Biology
* Imaging Science

Background:

* Nematodes, particularly *Caenorhabditis elegans*, are widely used model organisms in biological research.
* Accurate measurement of nematode size (length, volume, surface area) is crucial for various studies.
* Existing methods may be costly or complex, necessitating simpler alternatives.

Purpose of the Study:

* To describe a novel, accessible method for quantifying nematode dimensions from digital images.
* To provide detailed instructions for using ImageJ software and custom macros for this analysis.
* To enable researchers to easily determine nematode length, volume, and surface area.

Main Methods:

* Utilization of the public domain image analysis software, ImageJ.
* Development and application of two ImageJ macros: one for image binarization and another for dimensional measurements.
* Calculation of nematode volume and surface area based on measured length and diameter, assuming a circular cross-section.

Main Results:

* Successful implementation of a two-macro ImageJ workflow for nematode image processing.
* Accurate measurement of nematode length and diameter from photographic data.
* Calculation of nematode volume and surface area using geometric assumptions.

Conclusions:

* The described ImageJ-based method offers a cheap and easy technique for measuring nematode size.
* This approach facilitates quantitative analysis in nematode research, particularly for *Caenorhabditis elegans*.
* The method enhances the accessibility of morphometric analysis for a broad range of scientific investigations.