Unstained and H&E stained whole slide image pairs of anterior prostate tissue

Description

The data set consists of 81 registered whole slide image pairs, a pair represents unstained and H&E stained images of the same tissue sample. In addition to that, it also contains a tissue mask for each whole slide image pair. The samples are used for studying the histological feasibility of AI-driven virtual histopathology staining. Imaging was performed using Thunder Imager 3D Tissue slide scanner (Leica Microsystems, Wetzlar, Germany) equipped with DMC2900 camera and HC PL APO 40x/0.95 DRY objective with an isotropic pixel resolution of 0.353 µm.

Year of publication

2022

Type of data

Authors

Advancing Breast Cancer histopathology towards AI-based Personalised medicine (ABCAP) - Publisher

University of Eastern Finland

Lääketieteen laitos, biolääketieteen yksikkö

Leena Latonen - Creator

Sonja Koivukoski - Creator

University of Turku

Biolääketieteen laitos

Pekka Ruusuvuori - Creator

Umair Khan - Creator

Project

Other information

Fields of science

Computer and information sciences; Biomedicine

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

deep learning, artificial intelligence, whole slide images, Microscopy, hematoxylin & eosin (HE), histology, light microscopy, virtual staining, AI, GAN

Subject headings

Temporal coverage

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