Research Topics
Computational imaging
Large-scale dose-efficient 3D imaging
We are leaders in the development of 3D imaging methods based on 4D-STEM measurements.
- 2023: first atomic-resolution 3D volume from 4D-STEM tomography
- 2024: first atomic-resolution phase-contrast volume beyond the depth of focus limit
- 2024: first end-to-end reconstruction reaching sub-Angstrom resolution
These methods will enable high-throughput, high-resolution, and high-sensitivity 3D imaging of large samples. Especially weakly scattering atoms can be resolved with unprecedented accuracy.
Fast simulators for electron microscopy
We are developing fast simulators for electron microscopy.
Multi-modal microscopy
We are developing new approaches for multi-modal 3D imaging, down to the atomic scale.
Stay tuned for the first results!
Self-driving equipment
We are developing automation methods for electron microscopy.
Stay tuned for the first results!
Research Funding
Current Funding
- HyperScaleEM: Revealing 3D Atomic Structure and Chemistry in Scale-Bridging Volumes via 5D Hyperspectral Electron Tomography
- ERC Starting grant
- Pelz (PI)
- 12/2024 - 11/2029
Completed Funding
- “ScatterEM: Utilizing scattering to enhance throughput and sensitivity in electron microscopy”
- EAM Starting grant
- Pelz (PI)
- 01/2023
Research Framework
Holistic microscopy - using as much of the scattering information as possible
The substantive focus of our work is on incorporating prior physical knowledge about scattering mechanisms and multiple signal channels into the image reconstruction.
ML-driven microscopy
We use modern machine learning tools to make microscopy faster and better