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

Adjusting a Traverse01:12

Adjusting a Traverse

51
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
51
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Natural Language Processing
  11. Automated Seminal Root Angle Measurement With Corrective Annotation.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Natural Language Processing
  11. Automated Seminal Root Angle Measurement With Corrective Annotation.

Related Experiment Video

Precision Measurements and Parametric Models of Vertebral Endplates
00:10

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.5K

Automated seminal root angle measurement with corrective annotation.

Abraham George Smith1,2, Marta Malinowska2, Anja Karine Ruud2,3

  • 1Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.

Aob PLANTS
|October 28, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Seminal root angle measurement is now automated with SeminalRootAngle, an open-source tool. This method accurately quantifies root angles from images, aiding in understanding plant genetics.

Keywords:
AIQTLbarleyroot image analysis

More Related Videos

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

657
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

9.9K

Related Experiment Videos

Precision Measurements and Parametric Models of Vertebral Endplates
00:10

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.5K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

657
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

9.9K

Area of Science:

  • Plant science
  • Genetics
  • Computational biology

Background:

  • Accurate seminal root angle measurement is crucial for plant phenotyping.
  • Existing methods for root angle analysis are largely manual and lack automation.
  • Understanding root architecture is key to improving crop traits.

Purpose of the Study:

  • To introduce SeminalRootAngle, a novel open-source automated method for measuring seminal root angles from images.
  • To validate the accuracy and user-friendliness of the SeminalRootAngle pipeline.
  • To leverage the tool for genetic analysis of root architecture.

Main Methods:

  • Development of an automated image segmentation pipeline named SeminalRootAngle.
  • Utilizing a corrective annotation training method for enhanced flexibility and user-friendliness.
seminal root angle
  • Testing the method on a diverse dataset of 662 spring barley rhizobox images with varying clarity and root obstruction.

    • Main Results:

    • The SeminalRootAngle pipeline achieved a Pearson correlation coefficient of 0.71 when validated against manual measurements.
    • Inter-annotator agreement was measured with a Pearson correlation coefficient of 0.68, comparable to manual methods.
    • The tool successfully identified single nucleotide polymorphisms (SNPs) associated with root angle and length.

    Conclusions:

    • SeminalRootAngle offers an accurate and automated solution for seminal root angle measurement.
    • The tool demonstrates comparable accuracy to manual measurements, improving efficiency in root phenotyping.
    • This automated approach facilitates genetic studies, providing insights into the genetic basis of root architecture.