@article{WinterArtingerBoecketal., author = {Winter, Lina and Artinger, Annalena and B{\"o}ck, Hendrik and Ramakrishnan, Vignesh and Reible, Bruno and Albin, Jan and Sch{\"u}ffler, Peter J. and Raptis, Georgios and Brochhausen, Christoph}, title = {Developing a smart and scalable tool for histopathological education—PATe 2.0}, series = {Journal of Pathology Informatics}, volume = {20}, journal = {Journal of Pathology Informatics}, publisher = {Elsevier}, issn = {2153-3539}, doi = {10.1016/j.jpi.2025.100535}, 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.}, language = {en} }