Toolkit to help develop and run QuPath scripts from Eclipse and other IDEs, including over remote connections. (See README.md for more information)

Supplementary information associated with Besson et al. (2019) ECDP 2019

Intel OpenVINO extension for QuPath, a digital pathology platform

Cartilage analysis for Toluidine blue slides

Script for semi-automated bone volume quantification on Fast green Slides

Converting GeoJSON annotations from QuPath to COCO style.

Custom groovy scripts for QuaPath

MarrowQuant is a user-friendly algorithm for the quantification of H&E bone marrow tissue biopsies in whole slide images, implemented as a series of QuPath Scripts. Keywords: Digital Pathology, Whole slide Imaging, QuPath, Bone Marrow, Adiposity

🔬 Code-free deep segmentation for computational pathology

An image analysis pipeline for quantifying the spatial distribution of cell markers in stroma-rich tumors

A collection of groovy scripts for digital pathology

Materials supporting the QuPath workshop at Harvard Medical School.

pipeline that converts Deepcell generated instance segmentation masks of nuclei from an ome-tiff to Cell Objects with auto-generated cytoplasms in QuPath

drugsens is a R-package that allows users to automatically analyze QuPath™ output data from imaging analysis

Using Sectra PACS Annotations in QuPath

QuPath Cohort Metadata Extractor

Open-Source package for segmentation and analysis of gel electrophoresis images using machine learning. Both a python framework for training/running models and a QuPath GUI extension are available.

QuPath Data Analysis

QuPath extension to work with images through OMERO's Java API (raw)