QuPath Workshop
Are you interested in QuPath for digital pathology?
If so, join us at the University of Copenhagen for our one day QuPath workshop!
During this hands-on workshop organised on 4th of December 2026, participants will be introduced to QuPath, a powerful user-friendly bioimage analysis software designed to extract quantitative information from microscopy images. QuPath is optimised to process whole slide images from digital pathology, but it can also handle 2D images acquired by most fluorescence microscopes. Common uses include the identification, measurement and classification of nuclei, cells and regions of interest in the images.
Scope: The workshop is directed to life scientists with relevant image analysis needs and bioimaging facility staff planning to support their users in image analysis.
Requirements: Participants are expected to bring a laptop, further instructions will be sent about one week before the workshop. No prior knowledge required!
Catering: Coffee breaks & lunch will be catered.
Registration Fee: TBA
Registration Deadline: 27th of November 2026
Event Location
Panum Bygning
Blegdamsvej 3B
København, 2200 Denmark
About the Organisers
DBI-Infra IACF
The Danish Bioimaging Infrastructure (DBI-Infra) Image Analysis Core Facility (IACF) provides open services in image analysis to life scientists and medical researchers. We offer both in-person and remote support, helping you to visualize, analyze, and extract quantitative information out of your bioimaging datasets from anywhere.
Our team of experts is here to discuss your image analysis needs, guide and train you in the most suitable software solutions, or develop a complete image analysis workflow tailored to your scientific project. We leverage an extensive hardware and software infrastructure designed for remote image analysis, including a pool of latest-generation workstations, innovative High Performance Computing and data exchange services, and a broad range of bioimage analysis software tools.
The facility actively promotes open science and the most efficient data sharing with the scientific community according to the FAIR principles. We are collaborating with the Danish e-Infrastructure Collaboration (DeiC), the Network of European BioImage Analysts (NEUBIAS) and Euro-BioImaging, and we are engaged in multiple training and dissemination activities.
