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

Fixation and Sectioning01:03

Fixation and Sectioning

4.6K
Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...
4.6K
Differential Staining Technique01:26

Differential Staining Technique

248
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...
248
Simple Staining Technique01:24

Simple Staining Technique

332
OverviewStaining techniques in microscopy enhance the visualization of microorganisms by increasing contrast and allowing the differentiation of cellular structures. Simple staining is one of the fundamental methods used to observe the basic morphological characteristics of microorganisms, including their size, shape, and arrangement. This method relies on the application of a single dye to stain the entire cell, producing a clear contrast between the cell and the background.FixationFixation is...
332
Special Staining Techniques01:13

Special Staining Techniques

160
Specialized staining techniques play a vital role in microbiology by enabling the visualization of specific bacterial structures that remain undetectable with standard microscopy methods. These techniques not only enhance the structural visualization of bacterial cells but also provide critical insights into their pathogenicity and classification. Additionally, they support diagnostic and research endeavors in microbiology by identifying key bacterial features.Capsule Staining for Virulence...
160
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.0K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinico-Pathologic Features of Adult Erdheim-Chester Disease in South Korea: A Multicenter Retrospective Study (KCSG LY22-15).

Cancer research and treatment·2026
Same author

Kidney Hematopoietic Stem and Progenitor Cells Contribute to Myeloid Development and Pathology in Lupus Nephritis.

Arthritis & rheumatology (Hoboken, N.J.)·2026
Same author

Pellino1-mTOR/S6K1 signaling axis is a key pathogenesis for the development of polycystic kidney disease.

Cell death & disease·2026
Same author

Spatial immunophenotyping of tumor-associated macrophages predicts prognostic outcomes in clear cell renal cell carcinoma.

Urologic oncology·2026
Same author

Multiplex Immunofluorescence Assay with Opal Reagents for Identifying Mononuclear Cell Subsets in Kidney Allograft Rejection Types.

International journal of molecular sciences·2025
Same author

A novel prognostic model for primary central nervous system lymphoma incorporating clinico-laboratory parameters.

Neuro-oncology·2025

Related Experiment Video

Updated: Aug 18, 2025

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

12.9K

Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch

Jiheon Jeong1, Ki Duk Kim2, Yujin Nam1

  • 1Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea; Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Computers in Biology and Medicine
|December 6, 2022
PubMed
Summary
This summary is machine-generated.

Hematoxylin and eosin (H&E) stain normalization is crucial for digital pathology. This study introduces a novel stain separation method using sparse non-negative matrix factorization to improve H&E stain normalization accuracy and prevent artifacts.

Keywords:
ColorizationImage-to-image translationMoving windowingScore-based diffusion modelStain normalizationStyle transfer

More Related Videos

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes
22:49

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes

Published on: December 13, 2012

35.8K
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
11:01

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

47.4K

Related Experiment Videos

Last Updated: Aug 18, 2025

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

12.9K
Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes
22:49

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes

Published on: December 13, 2012

35.8K
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
11:01

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

47.4K

Area of Science:

  • Digital pathology
  • Computational pathology
  • Medical image analysis

Background:

  • Hematoxylin and eosin (H&E) staining is the gold standard in medical diagnosis but lacks standardization and is prone to fading.
  • Stain normalization is critical for deep learning (DL) in digital pathology, yet conventional methods cause structural damage or require reference slides.
  • Existing DL methods risk overfitting and grid artifacts, necessitating improved normalization techniques.

Purpose of the Study:

  • To develop a robust stain normalization method for whole slide pathology images.
  • To address limitations of conventional and DL-based stain normalization techniques, including mistransfer and artifacts.
  • To enhance the reliability of digital pathology data for long-term and multicenter studies.

Main Methods:

  • Developed a stain normalization pipeline utilizing a score-based diffusion model for colorization.
  • Implemented sparse non-negative matrix factorization (SNMF) for stain separation to prevent hematoxylin-eosin mistransfer.
  • Employed inpainting with overlapped moving window patches to mitigate grid artifacts during whole slide image normalization.

Main Results:

  • The proposed method effectively separates and normalizes hematoxylin and eosin stain components.
  • Sparse non-negative matrix factorization successfully prevented mistransfer issues inherent in diffusion models.
  • Inpainting technique prevented grid artifacts, ensuring seamless normalization of whole slide images.
  • The pipeline demonstrated decent performance in normalizing H&E stained pathology images.

Conclusions:

  • The developed stain normalization pipeline, integrating SNMF and inpainting, offers a robust solution for digital pathology.
  • This approach overcomes key limitations of existing methods, improving stain consistency and image quality.
  • The method holds promise for enhancing the accuracy and reliability of DL models in multicenter and longitudinal digital pathology studies.