Microscopy Data-Processing Workflows

Correlative and dose-efficient workflows connecting acquisition, classification, and reconstruction.

The most useful microscopy methods make acquisition and analysis a single coherent experiment, which is important for future transition to autonomous microscopy. My work aims to develop data processing and correlative analysis workflows for extracting complementary structural, spectroscopic, and multi-dimensional information.

Visual highlights

Concurrent 4D-STEM and EDX acquisition workflow — Concurrent 4D-STEM and EDX acquisition links structural and chemical signals within a shared low-dose experiment.

4D-STEM data-processing workflow — 4D-STEM processing turns a diffraction pattern at every probe position into spatially resolved materials information.

Non-negative matrix factorization applied to 4D-STEM data — Non-negative matrix factorization extracts interpretable components from 4D-STEM data.

CAETomo EELS tomography workflow — A streamlined path from an EELS tilt series to a three-dimensional reconstruction.

Selected outputs

J. Ryu, et al., Correlative study between the local atomic and electronic structures of amorphous carbon materials via 4D-STEM and STEM-EELS, Applied Physics Letters (2022).
J. Jo, J. Ryu, et al., Direct three-dimensional observation of the plasmonic near-fields of a nanoparticle with circular dichroism, ACS Nano (2024).
J. Ryu, et al., Resolving nanoscale heterogeneities in lead halide perovskites through low dose concurrent 4D-STEM-EDX mapping, Advanced Materials (2026).