Reinterpretation of prostate cancer pathology by Appl1, Sortilin and Syndecan-1 biomarkers

The diagnosis of prostate cancer using histopathology is reliant on the accurate interpretation of stained or labelled tissue sections. Current standards rely on assessment following Haematoxylin and Eosin (H&E) staining, which is often difficult to interpret and introduces inter-observer variability. Here, we present a digital pathology atlas for prostate cancer tissue, using micrographs of both H&E and our novel set of three biomarkers as an interactive tool, where clinicians and scientists can explore high resolution histopathology from various case studies. The digital pathology prostate cancer atlas when used in conjunction with the biomarkers, will greatly assist pathologists to accurately grade prostate cancer tissue samples.
This repository also contains the original image dataset used to generate the case studies for the digital pathology atlas. The data consist of a benign case and cases of ISUP grades from 1 to 5, where initial grading was performed on the hematoxyli..., All images were acquired using a Carl ZEISS AxioScan.Z1 microscope, with a Planapochromat 40x/0.95 objective. Images were orginially stored in the native Carl ZEISS Image format (*.CZI), and then converted to BigTIFF format using Carl ZEISS Zen Blue Software (version 3.8). Lossless compression was also used to minimise file sizes, while retaining image quality. All images can be  using freely available imaging software, such as ImageJ or FiJi., , # Reinterpretation of prostate cancer pathology by Appl1, Sortilin and Syndecan-1 biomarkers

[https://doi.org/10.5061/dryad.v9s4mw749](https://doi.org/10.5061/dryad.v9s4mw749)

We present a digital pathology atlas for prostate cancer tissue, using micrographs of both H&E (hematoxylin and eosin) and our novel set of three biomarkers as an interactive tool, where clinicians and scientists can explore high resolution histopathology from various case studies. The digital pathology prostate cancer atlas when used in conjunction with the biomarkers, will greatly assist pathologists to accurately grade prostate cancer tissue samples. The full set of digital micrographs are also accessible in this repository, along with the grading and patient outcome data.

## Description of the data and file structure

The digital pathology atlas for prostate cancer is a fully interactive portable document format (PDF) file, where users can easily explore high resolution histopathology from various case ...