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

A Double-Edged Algorithm Attitude: How Appreciation and Aversion Shape Students' AI Learning Anxiety in Higher Education.

Behavioral sciences (Basel, Switzerland)·2026
Same author

A Polyurea-Crosslinked Gel Polymer Electrolyte for Solvation and Interphase Regulation in Lithium Metal Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Cotton field population phenotyping analysis based on 3D Gaussian reconstruction and dynamic spatial constraints.

Frontiers in plant science·2026
Same author

Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton.

Plant phenomics (Washington, D.C.)·2026
Same author

Integrated multi-omics analysis to elucidate the genetic basis of seed traits in cotton.

Journal of advanced research·2026
Same author

Effects of Different Packaging Materials on Egg Translucency, Quality, and Shell Surface Microbiota.

Foods (Basel, Switzerland)·2026

Related Experiment Video

Updated: Sep 11, 2025

Processing Embryo, Eggshell, and Fungal Culture for Scanning Electron Microscopy
09:15

Processing Embryo, Eggshell, and Fungal Culture for Scanning Electron Microscopy

Published on: August 16, 2019

9.5K

Research note: bright-field automated identification method for eggshell moist spots detection.

Jiajie Yang1, Lin Xuan1, Guoxuan Huang1

  • 1National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.

Poultry Science
|August 13, 2025
PubMed
Summary
This summary is machine-generated.

A new bright-field imaging method accurately detects eggshell moist spots, unlike older dark-field methods. This improves egg grading by better matching consumer perception and reducing commercial waste.

Keywords:
Automated identificationBright-field imagingEgg qualityEggshell moist spotsSegmented regression

More Related Videos

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.3K
Analysis of Cell Differentiation, Morphogenesis, and Patterning During Chicken Embryogenesis Using the Soaked-Bead Assay
06:49

Analysis of Cell Differentiation, Morphogenesis, and Patterning During Chicken Embryogenesis Using the Soaked-Bead Assay

Published on: January 12, 2022

3.3K

Related Experiment Videos

Last Updated: Sep 11, 2025

Processing Embryo, Eggshell, and Fungal Culture for Scanning Electron Microscopy
09:15

Processing Embryo, Eggshell, and Fungal Culture for Scanning Electron Microscopy

Published on: August 16, 2019

9.5K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.3K
Analysis of Cell Differentiation, Morphogenesis, and Patterning During Chicken Embryogenesis Using the Soaked-Bead Assay
06:49

Analysis of Cell Differentiation, Morphogenesis, and Patterning During Chicken Embryogenesis Using the Soaked-Bead Assay

Published on: January 12, 2022

3.3K

Area of Science:

  • Agricultural Science
  • Food Quality Control
  • Image Processing

Background:

  • Eggshell moist spots are a common defect reducing consumer acceptance.
  • Current dark-field imaging methods overestimate moist spot severity, causing commercial waste.
  • Accurate detection aligned with consumer perception is vital for egg grading.

Purpose of the Study:

  • Verify the representativeness of single-side imaging for moist spot detection.
  • Develop and validate a bright-field automated identification method for accurate RSS assessment.

Main Methods:

  • Assessed moist spot symmetry on 510 pink-shell eggs using both dark-field and bright-field imaging.
  • Developed a bright-field automated method with optimized threshold, background subtraction, and feature filters.
  • Compared the ratio of sum of spot areas to sum of shell area (RSS) from both imaging methods.

Main Results:

  • Moist spot distribution was symmetrical on both eggshell sides, confirming single-side imaging representativeness.
  • Significant differences in RSS were found between bright-field (RSSb) and dark-field (RSSd) imaging (P < 0.001).
  • Dark-field imaging overestimated moist spot severity, especially at low severity levels (correlation r = 0.498).

Conclusions:

  • Single-side imaging is representative for assessing eggshell moist spots.
  • Bright-field imaging provides a more accurate assessment of moist spot severity than dark-field imaging.
  • The developed bright-field method is recommended for accurate egg grading and reducing commercial waste.