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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...

You might also read

Related Articles

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

Sort by
Same author

Bispecific antibody against sclerostin and DKK1 improves bone health and reduces bone marrow adipose tissue accumulation in experimental chronic kidney disease.

Bone research·2026
Same author

Correction: Improving 3D reconstruction quality for root phenotyping: assessing the impact of camera calibration and imaging parameters.

Plant methods·2026
Same author

Hooked hairs: A cellular key adaptation aiding seedling survival in nutrient-limited and drought conditions.

Science advances·2026
Same author

Improving 3D reconstruction quality for root phenotyping: assessing the impact of camera calibration and imaging parameters.

Plant methods·2026
Same author

Closing the loop - the chemistry of depolymerisation, polymer recycling and environmental degradation: general discussion.

Faraday discussions·2025
Same author

Phytoremediation of arsenic contaminated soil using cassava plants.

International journal of phytoremediation·2025

Related Experiment Video

Updated: Jun 21, 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

16.2K

DIRT/µ: automated extraction of root hair traits using combinatorial optimization.

Peter Pietrzyk1, Neen Phan-Udom2, Chartinun Chutoe2

  • 1Department of Plant Biology, University of Georgia, 120 Carlton Street, Athens, GA 30602, USA.

Journal of Experimental Botany
|September 13, 2024
PubMed
Summary

A new algorithm, Digital Imaging of Root Traits at Microscale (DIRT/μ), accurately measures individual root hairs from microscopy images. This automated method overcomes challenges in root hair phenotyping, enabling precise trait analysis.

Keywords:
Abiotic stresscomputer visionmicroscopyphenotypingroot hairsimulated annealing

More Related Videos

An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients
07:45

An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients

Published on: October 22, 2018

15.8K
A Simple Protocol for Mapping the Plant Root System Architecture Traits
11:09

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

2.7K

Related Experiment Videos

Last Updated: Jun 21, 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

16.2K
An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients
07:45

An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients

Published on: October 22, 2018

15.8K
A Simple Protocol for Mapping the Plant Root System Architecture Traits
11:09

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

2.7K

Area of Science:

  • Plant biology
  • Biophysics
  • Computational imaging

Background:

  • Root hair phenotyping is challenging due to complex image arrangements and measurement limitations.
  • Automated analysis of microscopic appendages like root hairs requires advanced computational solutions.

Purpose of the Study:

  • To develop and validate an algorithm for accurate, automated root hair phenotyping from 2D microscopy images.
  • To address the technical limitations in measuring individual root hairs within complex arrangements.

Main Methods:

  • Developed Digital Imaging of Root Traits at Microscale (DIRT/μ) algorithm.
  • Employed computational rules to resolve intersecting root hairs.
  • Minimized a novel cost function for combinatorial identification of individual root hairs.

Main Results:

  • DIRT/μ accurately measures individual root hair traits, including length distribution and density.
  • The algorithm significantly reduces measurement time compared to manual methods.
  • Automated extraction quantifies trait variability within and among plants.

Conclusions:

  • DIRT/μ enables precise and unbiased root hair phenotyping, overcoming previous challenges.
  • The algorithm accelerates the characterization of root hair function and genetics.
  • This tool opens new avenues for plant root system research.