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  3. The Comparative Pathology Workbench: An Update.
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  3. The Comparative Pathology Workbench: An Update.

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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

View abstract on 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

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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.