EVENT
28 November 2025
Hack the Microscope! A Global Hackathon on Machine Learning for Microscopy
Join the global Hack the Microscope Hackathon from 16–18 December, 2025 taking place in a hybrid format and tackling challenges at the intersection of AI, microscopy, and materials science. IMPRESS partner ICN2 Barcelona will host one of the official onsite nodes.
The second global Machine Learning for Microscopy Hackathon will bring together researchers, students, and professionals to collaboratively address real-world challenges where machine learning meets materials science and microscopy.
The event aims to accelerate the use of AI in microscopy and materials research by connecting the microscopy and machine-learning communities, fostering collaboration, promoting open science, and supporting the development of reproducible workflows for imaging, spectroscopy, and automated experimentation.
Supported by the AI Tennessee Initiative and the Center for Advanced Materials & Manufacturing (CAMM), the Hackathon brings together several international institutions - including IMPRESS partner, the Catalan Institute of Nanoscience and Nanotechnology (ICN2) Barcelona - making this a truly global and interdisciplinary effort.
For IMPRESS, where advanced microscopy is central to our mission, this initiative represents an exciting opportunity to engage with a community working on data-driven solutions aligned with our objectives.
Event Overview
A three-day, team-based Hackathon featuring interactive workshops, collaborative project sprints, and final presentations focused on developing innovative solutions using machine learning, microscopy, and materials data.
Participation Format
The event will be held online and across multiple onsite nodes worldwide, including ICN2 Barcelona, one of the official locations where participants can join in person. This expanded format allows researchers from all regions to take part.
Target Audience
Researchers, students, engineers, data scientists, and professionals interested in applying machine learning to microscopy or materials science, from beginners to experienced experts.
Why Participate
- Collaborate with an interdisciplinary, international community
- Tackle concrete scientific and technological challenges
- Gain hands-on experience with machine learning tools and data workflows
- Explore new approaches to microscopy-related research questions
- Build connections and discover possibilities for future collaboration
Project Focus Areas
- Machine-learning applications for microscopy and materials datasets
- Development of tools that support research-software ecosystems
- Targeted team sprints addressing specific technical or scientific problems
CLICK HERE FOR REGISTRATION and full event details.