Hanke lühikirjeldus
University of Turku is purchasing an image analysis software dedicated to deep learning based analysis of scanned whole slide images of tissue sections. The purchase is part of the FinGMice infrastructure development aiming to provide modern and up-to-date high-throughput quantitative tissue phenotyping research and services, and to make the quantitative digital histopathological analysis easily accessible for the biomedical research community. Compatibility with software tools used in the other FinnGMice Units (Universities of Helsinki, Eastern Finland and Oulu) is instrumental in facilitating unparallel networking and distribution of various quantitation and segmentation algorithms and machine learning-based tools for identification of structural and pathological features in tissue samples.