# Developing a smart and scalable tool for histopathological education—PATe 2.0

**Authors:** Lina Winter, Annalena Artinger, Hendrik Böck, Vignesh Ramakrishnan, Bruno Reible, Jan Albin, Peter J. Schüffler, Georgios Raptis, Christoph Brochhausen

PMC · DOI: 10.1016/j.jpi.2025.100535 · Journal of Pathology Informatics · 2025-12-05

## TL;DR

PATe 2.0 is a new digital microscopy tool for pathology education that improves scalability, performance, and usability.

## Contribution

The novel contribution is the redevelopment of PATe into a scalable, microservices-based platform with improved performance and open format support.

## Key findings

- PATe 2.0 significantly reduces tile request times compared to the original PATe system.
- The platform supports open formats like DICOM and OpenSlide, improving interoperability.
- The microservices architecture ensures modularity and scalability for future research integration.

## Abstract

Digital microscopy plays a crucial role in pathology education, providing scalable and standardized access to learning resources. In response, we present PATe 2.0, a scalable redeveloped web-application of the former PATe system from 2015. PATe 2.0 was developed using an agile, iterative process and built on a microservices architecture to ensure modularity, scalability, and reliability. It integrates a modern web-based user interface optimized for desktop and tablet use and automates key workflows such as whole-slide image uploads and processing. Performance tests demonstrated that PATe 2.0 significantly reduces tile request times compared to PATe, despite handling larger tiles. The platform supports open formats like DICOM and OpenSlide, enhancing its interoperability and adaptability across institutions. PATe 2.0 represents a robust digital microscopy solution in pathology education enhancing usability, performance, and flexibility. Its design enables future integration of research algorithms and highlights it as a pivotal tool for advancing pathology education and research.

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12771335/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12771335/full.md

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Source: https://tomesphere.com/paper/PMC12771335