QuPath for Python Programmers | Alan O'Callaghan | October 30th, Virtual I2K 2024 Authors: Alan O'Callaghan, University of Edinburgh;
Léo Leplat, University of Edinburgh;
Fiona Inglis, University of Edinburgh;
Peter Bankhead, University of Edinburgh;
Laura Nicolás Sáenz, University of Edinburgh
Description: QuPath is a popular, open-source platform for visualizing, annotating and analyzing complex images - including whole slide and highly multiplexed datasets. QuPath is written in Java and scriptable with Groovy, which makes it portable, powerful, and... sometimes a pain if you'd rather be working in Python (sometimes we would too).
This workshop will show how QuPath and Python can work happily together, and how Python programmers can benefit from incorporating some QuPath into their skillset. It is especially relevant for deep learning afficionados who want to use QuPath for annotation and visualization, as well as for existing QuPath users who want to dig deeper into their data with Jupyter notebooks.
Keywords: qupath, wsi, python
