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

Application of Hi-C sequencing to detect oncogene rearrangements for diagnosis and treatment of large B-cell lymphoma.

Blood advances·2026
Same author

The long noncoding RNA lnc13 restrains inflammatory responses to maintain oral tolerance to gluten.

Nature immunology·2026
Same author

The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics.

PloS one·2026
Same author

Double potential gradient analysis for critical isthmus detection in scar-related atrial tachycardia.

Heart rhythm·2026
Same author

Automated Detection of Macro-Reentrant Atrial Tachycardia Circuits Using LAT-Derived Graph Networks.

medRxiv : the preprint server for health sciences·2026
Same author

Sinus Rhythm Parameters in the Infarct Border Zone Are Useful to Assess Reentrant Ventricular Tachycardia Inducibility.

Journal of cardiovascular electrophysiology·2026

Related Experiment Video

Updated: Apr 16, 2026

Author Spotlight: Investigating the Effects of Compounds on Intestinal Tissue Using 3D Human Cell Line Models
07:39

Author Spotlight: Investigating the Effects of Compounds on Intestinal Tissue Using 3D Human Cell Line Models

Published on: September 1, 2023

2.2K

Quantitative image analysis of celiac disease.

Edward J Ciaccio1, Govind Bhagat1, Suzanne K Lewis1

  • 1Edward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green, Department of Medicine, Celiac Disease Center, Columbia University, New York, NY 10032, United States.

World Journal of Gastroenterology
|March 12, 2015
PubMed
Summary
This summary is machine-generated.

Quantitative techniques, including image processing, enhance celiac disease analysis from endoscopic images. These evolving methods aid gastroenterologists in screening and understanding this condition.

Keywords:
Celiac diseaseFrequency analysisMotilityVideocapsuleVillous atrophy

More Related Videos

Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing
07:38

Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing

Published on: September 13, 2016

8.9K
Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model
09:11

Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model

Published on: February 14, 2021

10.9K

Related Experiment Videos

Last Updated: Apr 16, 2026

Author Spotlight: Investigating the Effects of Compounds on Intestinal Tissue Using 3D Human Cell Line Models
07:39

Author Spotlight: Investigating the Effects of Compounds on Intestinal Tissue Using 3D Human Cell Line Models

Published on: September 1, 2023

2.2K
Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing
07:38

Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing

Published on: September 13, 2016

8.9K
Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model
09:11

Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model

Published on: February 14, 2021

10.9K

Area of Science:

  • Gastroenterology and Medical Imaging

Background:

  • Celiac disease diagnosis and management rely on accurate data analysis.
  • Endoscopic imaging, including standard and videocapsule endoscopy, provides crucial visual data.

Discussion:

  • Quantitative techniques statistically analyze pixel data from endoscopic images.
  • Image processing algorithms are evolving to improve diagnostic accuracy.
  • These advancements assist gastroenterologists in understanding celiac disease.

Key Insights:

  • Current quantitative methods offer significant improvements for celiac disease analysis.
  • Image processing of endoscopic data aids in screening suspected patients.
  • Evolving techniques enhance the utility for gastroenterologists.

Outlook:

  • Further development of quantitative techniques can expand analysis capabilities.
  • New methodologies are needed for improved diagnosis and treatment of celiac disease.
  • There is substantial potential for advanced quantitative analysis in celiac disease.