The comparative pathology workbench: An update

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.