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

Light Acquisition02:16

Light Acquisition

9.2K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.2K

You might also read

Related Articles

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

Sort by
Same author

Predicting complex phenotypes using multi-omics data in maize.

The Plant cell·2026
Same author

A sorghum-anchored pan-grass syntenic gene set in grasses.

NAR genomics and bioinformatics·2026
Same author

Cryogenic transmission electron microscopy reveals assembly and nanostructure of PEDOT:PSS.

Nature communications·2026
Same author

Genetic variation and historical breeding patterns in common bean (Phaseolus vulgaris L.) affect fermentation patterns by the human gut microbiome.

Communications biology·2025
Same author

Predicting complex phenotypes using multi-omics data in maize.

bioRxiv : the preprint server for biology·2025
Same author

Loss of conductance between mesophyll symplasm and intercellular air spaces explains nonstomatal control of transpiration.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: Dec 7, 2025

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging
06:11

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

4.0K

Leaf Angle eXtractor: A high-throughput image processing framework for leaf angle measurements in maize and sorghum.

Sunil K Kenchanmane Raju1,2, Miles Adkins3, Alex Enersen1

  • 1Center for Plant Science Innovation University of Nebraska-Lincoln Lincoln Nebraska USA.

Applications in Plant Sciences
|October 1, 2020
PubMed
Summary
This summary is machine-generated.

A new image analysis tool, Leaf Angle eXtractor (LAX), automates leaf angle measurements in maize and sorghum. This high-throughput method tracks plant responses to drought, aiding in understanding water-use efficiency.

Keywords:
computer visiondroughtimage analysismaizephenotyping

More Related Videos

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

1.4K
Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography
06:21

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography

Published on: October 9, 2018

9.2K

Related Experiment Videos

Last Updated: Dec 7, 2025

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging
06:11

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

4.0K
Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

1.4K
Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography
06:21

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography

Published on: October 9, 2018

9.2K

Area of Science:

  • Plant science
  • Agronomy
  • Computational biology

Background:

  • Maize yields have increased due to breeding and higher planting densities.
  • Upright plant architecture improves light interception but requires efficient phenotyping for leaf angle.
  • Conventional leaf angle phenotyping is slow and labor-intensive, limiting mechanistic studies.

Purpose of the Study:

  • To develop a high-throughput method for quantifying leaf angle dynamics in maize and sorghum.
  • To analyze plant responses to water deprivation using automated image analysis.
  • To enable large-scale studies on plant adaptation to water limitations.

Main Methods:

  • Acquired high-throughput time-series image data of maize and sorghum under drought.
  • Developed a MATLAB-based image processing framework named Leaf Angle eXtractor (LAX).
  • Quantified leaf angles from images to assess temporal changes under water stress.

Main Results:

  • Observed differential leaf angle responses to drought in maize and sorghum.
  • LAX enabled distinguishing wilting leaves from non-wilting leaves within minutes.
  • High-throughput phenotyping revealed temporal variations in leaf angle under water deprivation.

Conclusions:

  • Automated leaf angle measurement with LAX facilitates large-scale experiments.
  • LAX aids in understanding spatial and temporal variations in plant responses to water stress.
  • This technology can be used to improve drought tolerance in crops.