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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
185
Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists
Rodrigo Escobar Díaz Guerrero1,2, Lina Carvalho3, Thomas Bocklitz4,5
1BMD Software, PCI - Creative Science Park, 3830-352 Ilhavo, Portugal.
Journal of Pathology Informatics
|October 21, 2022
Summary
Whole Slide Imaging (WSI) technology enables full tissue section scanning, presenting challenges in digital pathology. This review analyzes WSI tools for reading, visualization, and analysis to guide researchers and pathologists.
Area of Science:
- Digital Pathology
- Medical Imaging
- Computational Science
Background:
- Whole Slide Imaging (WSI), formerly virtual microscopy, emerged late 20th century, digitizing entire tissue sections.
- WSI introduces significant challenges in image management, including reading, visualization, storage, and analysis.
Purpose of the Study:
- To review and analyze prevalent technologies for handling Whole Slide Images in digital pathology.
- To equip pathologists and computational scientists with knowledge for selecting appropriate WSI technologies for research and development.
Main Methods:
- Analysis of specialized libraries for WSI data handling.
- Evaluation of comprehensive platforms for WSI reading, visualization, and analysis.
Main Results:
- Identification of key technologies facilitating WSI management.
- Categorization of tools based on functionality (reading, visualization, analysis).
Conclusions:
- The selection of appropriate WSI technologies is crucial for advancing digital pathology research.
- This review provides a guide for informed technology choices in WSI-based studies.

