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

<i>In vivo</i> performance of lean bioabsorbable Mg-Ca alloy X0 and comparison to WE43: Influence of surface modification and alloying content.

Bioactive materials·2024
Same author

Ice sheet-free West Antarctica during peak early Oligocene glaciation.

Science (New York, N.Y.)·2024
Same author

Mutagen sensitivity and risk of second cancer in younger adults with head and neck squamous cell cancer: 15-year results.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2022
Same author

A large West Antarctic Ice Sheet explains early Neogene sea-level amplitude.

Nature·2021
Same author

Free-ranging wild boar (Sus scrofa) in Switzerland: casual observations and model-based projections during open and closed season for hunting.

Schweizer Archiv fur Tierheilkunde·2020
Same author

Test deformation and chemistry of foraminifera as response to anthropogenic heavy metal input.

Marine pollution bulletin·2020

Related Experiment Video

Updated: Jul 2, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Technical note: standardized and semiautomated Harris lines detection.

S Suter1, M Harders, C Papageorgopoulou

  • 1Institute of Anatomy, University of Zurich, Zurich 8057, Switzerland.

American Journal of Physical Anthropology
|August 20, 2008
PubMed
Summary

Automated detection of Harris lines (HL) in bone radiographs aids paleopathological research. An image analysis tool shows promise but requires manual validation for improved accuracy in age assessment.

More Related Videos

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
11:19

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

Published on: March 20, 2018

Related Experiment Videos

Last Updated: Jul 2, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
11:19

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

Published on: March 20, 2018

Area of Science:

  • Paleopathology
  • Skeletal Biology
  • Medical Imaging Analysis

Background:

  • Harris lines (HL) represent arrested long bone growth, visible as radiopaque transverse lines in radiographs.
  • Assessing the age of HL occurrence in paleopathological studies is labor-intensive and prone to observer variability.

Purpose of the Study:

  • To develop and evaluate a standardized, automated image analysis algorithm for detecting Harris lines.
  • To enable automatic assessment of individual age-at-formation of Harris lines using established methods.

Main Methods:

  • Development of an image analysis application for automatic Harris line detection.
  • Comparison of the algorithm's automated HL detection against manual assessment by expert observers on digital radiographs of medieval tibiae.
  • Inclusion of a graphical user interface for optional manual user input and validation.

Main Results:

  • High intra- and interobserver variability was observed in manual assessments, which improved with standardized criteria.
  • The automated algorithm detected two-thirds of consensus Harris lines identified by observers.
  • Manual editing was necessary to validate the remaining one-third of detected lines.

Conclusions:

  • The developed algorithm offers a potential improvement for automated Harris line detection in paleopathological research.
  • Further testing with larger datasets is required to fully validate the algorithm's performance.
  • The application is freely available for researchers to test and contribute to its development.