🔬 A Topical Conference of the Appalachian Regional Electron Microscopy Society
- 🌐 Hybrid format – join us in-person or online
- In collaboration with Oak Ridge National Laboratory, Pacific Northwest National Laboratory, Thermo Fisher Scientific, AtomQ, and Mat3ra
- Organizers: Gerd Duscher, Sergei V. Kalinin
Tutorials by: Austin Houston, Utkarsh Pratiush, Elizabeth Heon, Kamyar Barakati, Kevin Roccapriore - If you’re working on machine learning for microscopy—whether for data analysis, real-time decision-making, or autonomous instrument control—this summer school is for you.
🧠 Topics include:
- ✅ AI-driven experimental workflows
- ✅ Reward-based data acquisition
- ✅ Python-based automation using Thermo Fisher’s AutoScript
- ✅ Digital twins and real experimental datasets
- ✅ Spectroscopy (EDS/EELS), 4D-STEM, VAE, CNN, Bayesian optimization
- ✅ Human-in-the-loop and fully autonomous microscopy workflows
Participants will receive hands-on instruction and gain practical experience with ML tools directly applicable to STEM and SPM instruments.