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

African American Dementia Caregiver Strategies Inventory: Initial descriptive and psychometric evaluation.

Rehabilitation psychology·2026
Same author

Development and Application of a Desirability of Outcome Ranking (DOOR) Endpoint for Acute Bacterial Skin and Skin Structure Infections.

Open forum infectious diseases·2026
Same author

A Case of Encephalocraniocutaneous Lipomatosis (ECCL) With Atypical Clinical Presentation Diagnosed on Molecular Testing: FGFR1 ECCL Tumor Risk.

American journal of medical genetics. Part A·2026
Same author

Adjusting for covariates in randomized clinical trials for drugs and biological products.

Clinical trials (London, England)·2025
Same author

AI-Enabled Personalized Smoking Cessation Intervention With the Aipaca Chatbot: Mixed Methods Feasibility Study.

JMIR formative research·2025
Same author

Evaluating Viral Load Sampling Schemes and Swabbing Methods for Optimal Surrogacy.

The Journal of infectious diseases·2025

Related Experiment Video

Updated: Mar 27, 2026

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
09:58

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma

Published on: June 6, 2025

1.3K

A method for normalizing pathology images to improve feature extraction for quantitative pathology.

Allison Tam1, Jocelyn Barker2, Daniel Rubin3

  • 1Stanford Institutes of Medical Research Program, Stanford University School of Medicine, Stanford, California 94305.

Medical Physics
|January 10, 2016
PubMed
Summary
This summary is machine-generated.

A new stain normalization method, intensity centering and histogram equalization (ICHE), effectively reduces batch effects in digital pathology images. This automated approach improves quantitative analysis and aids downstream applications like computer-aided diagnosis.

More Related Videos

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.7K
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

3.0K

Related Experiment Videos

Last Updated: Mar 27, 2026

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
09:58

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma

Published on: June 6, 2025

1.3K
Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.7K
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

3.0K

Area of Science:

  • Digital pathology
  • Computational pathology
  • Biomedical imaging analysis

Background:

  • Digital slide scanning generates large image repositories for biomedical discovery.
  • Batch effects from varied staining protocols impede quantitative analysis of digital pathology images.

Purpose of the Study:

  • To introduce a novel, fully automated stain normalization method to reduce batch effects.
  • To enhance the utility of digital pathology images for research and clinical applications.

Main Methods:

  • Developed an intensity centering and histogram equalization (ICHE) method.
  • Normalized digital hematoxylin and eosin (H&E) and immunohistochemistry slides.
  • Scaled intensity histogram centroids and applied contrast-limited adaptive histogram equalization.

Main Results:

  • ICHE improved performance compared to un-normalized images.
  • ICHE outperformed existing methods for correcting batch effects in most cases.
  • Evaluated using image intensity, quantitative features, and computer-aided diagnosis performance.

Conclusions:

  • ICHE is a valuable preprocessing step for digital pathology image processing pipelines.
  • The method aids in reducing batch effects for more reliable image analysis.