CAETomo
A Python and Streamlit workflow for EELS tomography, from tilt-axis alignment and feature-map tilt-series generation to tomographic reconstruction.
CAETomo supports electron energy-loss spectroscopy (EELS) tomography workflows, including tilt-axis alignment, feature-map tilt-series preparation, and reconstruction. It builds on data-driven feature extraction through DRCA and offers a Streamlit interface for interactive, code-free analysis.
Install the package with pip install caetomo, then run caetomo-gui to start the graphical interface. The source repository contains setup notes, examples, and the current implementation.
Related research
- 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. Jo, et al., Comprehending nonmonochromatic plasmonic behavior of metal nanoparticles on dielectric nanowires using monochromated EELS, Physical Review Materials (2025).