The key principle of physical sciences is the comparison between theory and experiment. My research is motivated by applying this principle to electron microscopical experiments. This requires both quantitative experiments and theoretical modeling. A further area of interest is electron holography.
Quantitative Microscopy
- Sufficiently calibrated and characterized microscope and detectors including noise transfer
- Perform measurement with a spread of measurement conditions (e. g. beam tilt in conventional imaging) to mitigate systematic uncertainties.
- Metadata curation of all relevant experimental parameters for repeatable measurement setups
- Deterministic data evaluation: all steps during data evaluation should be reproducible down to numeric precision.
- Automated measurements: more throughput (thus more reliable statistics) and less error prone
Computative Microscopy
- Numerical verification of assumptions inferred from first order approximations (e. g. kinematic scattering) to be valid for actual experimental conditions (e. g. in the dynamical scattering regime).
- Scattering theory and numerical scattering calculations: Multislice, multi-beam Howie-Whelan, Bloch wave, hybrids and beyond.
- Inverse methods
- Development of PyTEM: our in-house software suite for scattering simulations, data evaluation and processing, as well as metadata curation.
Applications & Methods
- Electric potential and field measurements in semiconductors (electron holography, 4D-STEM).
- Strain measurements (dark field electron holography, 4D-STEM, high-resolution TEM/STEM).
- Atomically resolved measurements (electron holography, STEM, HRTEM)
- Phase reconstruction in general
- Time resolved holography