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The comparative pathology workbench: An update

  • Michael N. Wicks
  • , Michael Glinka
  • , Bill Hill
  • , Derek Houghton
  • , Bernard Haggarty
  • , Jorge Del-Pozo
  • , Ingrid Ferreira
  • , Florian Jaeckle
  • , David Adams
  • , Shahida Din
  • , Irene Papatheodorou
  • , Kathryn Kirkwood
  • , Albert Burger
  • , Richard A. Baldock
  • , Mark J. Arends

Research output: Contribution to journalArticlepeer-review

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Abstract

The Comparative Pathology Workbench (CPW) is a web-browser-based visual analytics platform providing shared access to an interactive “spreadsheet” style presentation of image data and associated analysis data. The software was developed to enable pathologists and other clinical and research users to compare histopathological images of diseased and/or normal tissues between different samples of the same or different patients/species. The CPW provides a grid layout of cells in rows and columns so that images that correspond to matching data can be organized in the form of an image-enabled “spreadsheet”. An individual workbench or bench can be shared with other users with read-only or full edit access as required. In addition, each bench cell or the whole bench itself has an associated discussion thread to allow collaborative analysis and consensual interpretation of the data. Here, we present the updated system based on 2 years of active use in the field that generated constructive feedback. The updates deliver new capabilities, including automated importation of entire image collections, sorting image collections, long running tasks, public benches, uploading miscellaneous image types, refining search facilities, enabling use of tags, and improving efficiency, speed, and user-friendliness.
Original languageEnglish
Article number100523
JournalJournal of Pathology Informatics
Volume19
Early online date21 Oct 2025
DOIs
Publication statusPublished - Nov 2025

Keywords

  • Comparative pathology
  • Embedded discussion
  • Image spreadsheet
  • Image visualization
  • Shared workspace
  • Visual analytics
  • Visual comparison

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Computer Science Applications
  • Health Informatics

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