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

Temperature responses of root carbon use efficiency are linked to cortical cell expansion.

Plant physiology·2026
Same author

Modelling belowground plant acclimation to low soil nitrogen - a heuristic optimality-based approach.

The New phytologist·2026
Same author

All-epiphyseal, all-inside ACL reconstruction yields high return-to-sport and minimal growth-related complications at mid- to long-term follow-up in skeletally immature patients.

Journal of experimental orthopaedics·2026
Same author

Future crop breeding needs to consider future soils.

Nature plants·2025
Same author

Field plants strategically regulate water uptake from different soil depths by spatiotemporally adjusting their radial root hydraulic conductivity.

The New phytologist·2025
Same author

Root-soil-microbiome management is key to the success of regenerative agriculture.

Nature food·2024

Related Experiment Video

Updated: Jul 14, 2026

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

RootHairAreaFinder: an image processing method for quantifying barley root growth and root hairs simultaneously in a

George Themistokleous1,2,3, Kirsty Binnie1, Blair M McKenzie1,4

  • 1Ecological Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, Scotland, UK.

Plant Methods
|July 12, 2026
PubMed
Summary

A new imaging system quantifies barley root system architecture and root hairs simultaneously. This non-destructive method allows for repeated, in situ measurements, aiding studies on root traits and soil interactions.

Keywords:
DroughtDry bulk densityImage analysisRhizotronRoot hairsSoil physics

More Related Videos

Measuring Stolons and Rhizomes of Turfgrasses Using a Digital Image Analysis System
06:02

Measuring Stolons and Rhizomes of Turfgrasses Using a Digital Image Analysis System

Published on: February 19, 2019

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
08:25

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

Published on: January 25, 2014

Related Experiment Videos

Last Updated: Jul 14, 2026

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

Measuring Stolons and Rhizomes of Turfgrasses Using a Digital Image Analysis System
06:02

Measuring Stolons and Rhizomes of Turfgrasses Using a Digital Image Analysis System

Published on: February 19, 2019

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
08:25

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

Published on: January 25, 2014

Area of Science:

  • Plant Biology
  • Agricultural Science
  • Root Phenotyping

Background:

  • Root system architecture and root hairs are crucial for plant resource acquisition.
  • Simultaneous whole-plant scale quantification of these traits is challenging due to imaging and measurement constraints.

Purpose of the Study:

  • To develop and validate a novel plant growth and imaging system for non-destructive, repeated quantification of barley root traits.
  • To enable integrated analysis of root system architecture and visible projected root hair area.

Main Methods:

  • Utilized A3 sized flatbed rhizotrons and a non-machine-learning R-based image analysis workflow.
  • Enabled in situ, repeated measurements of barley root system architecture and visible projected root hair area over three weeks.
  • Validated image analysis algorithm performance with high segmentation accuracy.

Main Results:

  • The system successfully quantified both whole-root architecture and spatial distribution of root hairs from single images.
  • Demonstrated experimental applicability by assessing root growth and hair responses under varying irrigation and soil density conditions.
  • Enabled analysis of root hair expansion at individual root tips.

Conclusions:

  • The developed methodology offers a training-free approach for integrated root trait analysis.
  • Facilitates studies on root-soil interactions requiring both spatial resolution and temporal continuity.
  • Provides a valuable tool for controlled environmental studies of root development and resource uptake.