Open, Reproducible and Agentic Bioimage Analysis
A QIM × IACF × DanBIAS event
As part of the Danish Bioimage Analyst Society (DanBIAS), IACF and QIM are proud to present the next DanBIAS hackathon. This event, on October 28, will feature session spanning open access, reproducibility and agentic coding for bioimage analysis.
MORNING I – OPEN ACCESS, LIVE FROM GLOBAL BIOIMAGING
Hear about Open Access from the Global BioImaging Exchange of Experience 2026 + break-out discussions to get feedback on your open-source software.
MORNING II – REPRODUCIBILITY, HANDS-ON WITH QIM TOOLS
Explore large image data with QIM's flexible, OME-Zarr-powered visualisation packages - including a hands-on session with qim3d.
AFTERNOON – AGENTIC CODING FOR BIOIMAGE ANALYSIS
Can AI agents write your analysis? Hands-on and live demos on real bioimage analysis tasks. Also hear how froniter models fare on large projects.
Requirements: Bring your own laptop!
Catering: Coffee breaks & lunch will be catered.
Registration Fee: Free!
Registration Deadline: 25th of October 2026
Event Location
DTU Lyngby campus, building 305, lounge 006
101A Bygning Lundtofte
2800 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.