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

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.6K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.6K
Computed Tomography01:10

Computed Tomography

7.0K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Current Understanding of Cell-Surface Immune Receptors for MAMPs and Plant Parasites in the Solanaceae Family.

Molecular plant pathology·2026
Same author

Yield impact of source-sink-regulated senescence in hybrid maize and genetic architecture in exPVP inbreds.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same author

Current Understanding of the Genetic and Molecular Interactions Between the Tar Spot Pathogen <i>Phyllachora maydis</i> and Maize.

Molecular plant-microbe interactions : MPMI·2026
Same author

A sorghum pangenome reference improves global crop trait discovery.

Nature·2026
Same author

Genomes to fields 2024 maize genotype by environment prediction competition.

BMC research notes·2026
Same author

Lf2 is a knotted homeobox regulator that modulates leaflet number in soybean.

The Plant journal : for cell and molecular biology·2026

Related Experiment Video

Updated: Oct 11, 2025

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

8.7K

4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography.

Monica Herrero-Huerta1, Valerian Meline2, Anjali S Iyer-Pascuzzi2

  • 1Institute for Plant Sciences, College of Agriculture, Purdue University, West Lafayette, IN, USA. mherrero@purdue.edu.

Plant Methods
|December 5, 2021
PubMed
Summary

We developed a new 4D X-ray CT method for high-throughput plant root phenotyping. This approach accurately quantifies root system architecture traits over time, improving marker-assisted breeding and genetic mapping.

Keywords:
3D modelingDigital twinImagingPhenotypingProximal sensingRoot system architecture (RSA)SkeletonX-ray CT (computed tomography)

More Related Videos

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.3K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.9K

Related Experiment Videos

Last Updated: Oct 11, 2025

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

8.7K
Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.3K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.9K

Area of Science:

  • Plant Science
  • Biotechnology
  • Computational Biology

Background:

  • Plant phenotyping is crucial for crop improvement but faces bottlenecks.
  • Root system architecture (RSA) significantly impacts agricultural productivity.
  • Existing computational methods for quantifying dynamic RSA are limited.

Purpose of the Study:

  • To develop a spatial-temporal modeling method for RSA using 4D X-ray CT data.
  • To enable high-throughput phenotyping with accurate and robust root trait quantification.
  • To address limitations in analyzing dynamic changes in root architecture.

Main Methods:

  • A novel pipeline using 4D X-ray CT data for spatial-temporal root modeling.
  • Curve-skeleton computation via constrained Laplacian smoothing for temporal root registration.
  • Cylindrical fitting for robust RSA modeling and trait quantification.

Main Results:

  • Accurate temporal registration of roots using PCA analysis of the skeleton.
  • Quantification of key RSA traits including root number, volume, and elongation rate.
  • Validation of branch number (RRMSE < 9%) and volume (R² = 0.84) against digital twins.

Conclusions:

  • The developed methodology is viable for scalable, high-throughput root phenotyping.
  • This approach enhances marker-assisted breeding and genetic mapping capabilities.
  • The method provides accurate and robust quantification of dynamic RSA traits.