AI and ML for Microscopy, Hackathon
Machine Learning for Microscopy Hackathon 2
December 16–18, 2025 · Hybrid (In-person + Virtual)
Watch the recording from the live kickoff session — including the welcome,
introduction, and overview of the hackathon.
If you weren’t able to join the Zoom session, this video will help you catch up
before jumping into the challenges.
What is the Hackathon?
The Machine Learning for Microscopy Hackathon is a hands-on event that brings together researchers, students, and professionals to solve real microscopy problems using AI and data-driven tools. Participants work in small interdisciplinary teams to explore imaging, spectroscopy, and automation challenges, learning from mentors and peers along the way.
Multi-Site Participation
Attend in person or join remotely — teams will collaborate across sites and time zones. Confirmed 2025 host sites include:
Interested in hosting a site? Contact sergei2@utk.edu.
Why Participate?
Work with real microscopy datasets and apply state-of-the-art AI methods.
Form teams with participants from around the world — fully remote participation supported.
Share code, data, and discoveries that extend beyond the event.
Showcase your work to researchers, labs, and industry partners.
Timeline
| Phase | Date | Description |
|---|---|---|
| Registration & Team Formation | Now – Dec 14 | Register to attend online or in-person at one of our sites. Registration for attending in-person closes Dec 10 |
| Team Formation | Now – Dec 16 | Join Slack, and find collaborators. |
| Hackathon Start | Dec 16 | Opening session and challenge release. |
| Mentorship & Collaboration | Dec 16–17 | Hands-on work with mentors and cross-site support. |
| Final Presentations | Dec 18 | Team presentations and submissions. |
| Judging Period | Dec 19 – Jan 2026 | Judging of submissions by the Jury. |
| Award Announcement | Jan 2026 (TBA) | Winners announced after judging is completed. |
| Post-Event | Jan 2026 | Paper writing and open-source integration. |
Logistics
The hackathon will take place in hybrid format using Zoom for talks and Slack + Miro for collaboration.
Sponsors & Partners
Supported by the Office of Naval Research (ONR), Thermo Fisher Scientific, Renaissance Philanthropy, Mat3ra – Materials R&D Cloud, Covalent Metrology, Toyota Research Institute, Waviks, Microscopy Society of Ameriica, Student Council, Hugging Face, DENS solutions, Polaron, Theia Scientific and Computational Materials Science (COMMAT), Elsevier . Learn more about our partners on the Awards page.