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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.8K
Pedigree Analysis01:35

Pedigree Analysis

88.7K
Overview
88.7K
Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

3.3K
The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
3.3K
Biostatistics: Overview01:20

Biostatistics: Overview

682
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
682

You might also read

Related Articles

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

Sort by
Same author

Long-term efficacy and safety of vutrisiran in hereditary transthyretin amyloidosis with polyneuropathy: final analysis of the HELIOS-A randomized treatment extension.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis·2026
Same author

CARMN fusions and PDGFRB mutations highlight key differences among cutaneous tumors with myopericytic differentiation.

The Journal of investigative dermatology·2026
Same author

Effect of Eplontersen in Patients With Hereditary Transthyretin Amyloidosis With Polyneuropathy Across Genetic Variants: An Exploratory Analysis From the NEURO-TTRansform Trial.

European journal of neurology·2026
Same author

scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

GigaScience·2026
Same author

Reflexivity and Change in Adaptive Physical Activity.

Adapted physical activity quarterly : APAQ·2026
Same author

Novel fusion gene THBS1::ERBB2 drives a subset of superficial acral fibromyxomas.

The British journal of dermatology·2026
Same journal

Erratum to "Pathologists in Venice - Real world cases for an immersive training experience": Education, gaming, and show. <i>Journal of Pathology Informatics</i>, Volume 17, 2025, 100418.

Journal of pathology informatics·2026
Same journal

Erratum to PIRO: A web-based search platform for pathology reports, leveraging large language models to generate discrete searchable insights. <i>Journal of Pathology Informatics</i>, Volume 17, 2025, 100436.

Journal of pathology informatics·2026
Same journal

Erratum regarding missing Declaration of Competing Interest statements in previously published articles.

Journal of pathology informatics·2026
Same journal

An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.

Journal of pathology informatics·2026
Same journal

Deployment of AI-driven automated quality control of whole-slide images in a large tertiary cancer center.

Journal of pathology informatics·2026
Same journal

Comparative analysis of whole-slide scanner tissue detection algorithms: Implications for scan area, scan time, and file size in high-volume digital pathology workflows.

Journal of pathology informatics·2026
See all related articles

Related Experiment Video

Updated: Jan 6, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.7K

The comparative pathology workbench: An update.

Michael N Wicks1, Michael Glinka1, Bill Hill2

  • 1Edinburgh Pathology & Centre for Comparative Pathology, Institute of Genetics & Cancer, University of Edinburgh, Crewe Road, Edinburgh EH4 2XR, UK.

Journal of Pathology Informatics
|December 1, 2025
PubMed
Summary
This summary is machine-generated.

The Comparative Pathology Workbench (CPW) is an updated visual analytics platform for comparing histopathological images. Enhancements improve data management, collaboration, and user-friendliness for pathologists and researchers.

Keywords:
Comparative pathologyEmbedded discussionImage spreadsheetImage visualizationShared workspaceVisual analyticsVisual comparison

More Related Videos

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

18.4K
Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury
07:28

Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury

Published on: March 24, 2023

4.0K

Related Experiment Videos

Last Updated: Jan 6, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.7K
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

18.4K
Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury
07:28

Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury

Published on: March 24, 2023

4.0K

Area of Science:

  • * Digital pathology
  • * Computational biology
  • * Medical informatics

Background:

  • * Pathologists and researchers require tools to compare complex histopathological image data.
  • * Existing platforms may lack integrated features for collaborative analysis and efficient data management.
  • * The Comparative Pathology Workbench (CPW) was developed to address these needs.

Purpose of the Study:

  • * To present an updated version of the CPW, incorporating user feedback from two years of active use.
  • * To introduce new features enhancing image data analysis, collaboration, and system efficiency.
  • * To improve the user-friendliness and accessibility of the visual analytics platform.

Main Methods:

  • * Development of a web-browser-based visual analytics platform with a spreadsheet-style interface.
  • * Implementation of features for image data organization, comparison, and collaborative annotation.
  • * Iterative updates based on user feedback, focusing on automation, search, and usability.

Main Results:

  • * Enhanced automated importation and sorting of large image collections.
  • * New capabilities for handling diverse image types and long-running computational tasks.
  • * Improved search functionalities, tag integration, and overall system performance and user experience.

Conclusions:

  • * The updated CPW offers a robust and user-friendly environment for comparative histopathological image analysis.
  • * New features facilitate efficient data management, collaborative interpretation, and broader research applications.
  • * Continuous development based on user feedback ensures the platform remains relevant and effective.