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CAETomo

The codes presented here are developed for EELS tomography data processing; the tilt axis alignment, feature map tilt series production and tomographic reconstruction can be achieved. schematic


How to install

conda create -n caetomo python=3.10
conda activate caetomo
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
pip install torchkbnufft
conda install -c conda-forge tabulate
conda install -c conda-forge scikit-image
conda install -c conda-forge opencv
conda install -c conda-forge hyperspy
pip install caetomo


Graphical User Interface (GUI)

An interactive, Streamlit-based web interface for a completely code-free analysis pipeline is provided. Once the package is installed, simply open your terminal and run:

caetomo-gui


Requirements

# Generally required
numpy
matplotlib
tifffile
# Tilt axis alignment
opencv
ipywidgets
scikit-image
# Feature extraction and reconstruction
drca # automatically installed with CAETomo
pytorch
tabulate
torchkbnufft


Application examples

  1. Jo, J., et al., Direct Three-Dimensional Observation of the Plasmonic Near-Fields of a Nanoparticle with Circular Dichroism. ACS Nano, 2024. 18(47): p. 32769-32780.
  2. Jo, J., et al., Comprehending nonmonochromatic plasmonic behavior of metal nanoparticles on dielectric nanowires using monochromated EELS. Physical Review Materials, 2025. 9(12).

Citation

@article{jo2024eelstomo,
author = {Jo, J., Ryu, J., Huh, J.-H., Kim, H., Seo, D. H., Lee, J., Kwon, M., Lee, S., Nam, K. T., Kim M.},
title = {Direct three-dimensional observation of the plasmonic near-fields of a nanoparticle with circular dichroism},
journal = {ACS Nano},
volume = {18},
Issue = {47},
pages = {32769–32780},
year = {2024},
doi = {https://doi.org/10.1021/acsnano.4c10677} }


Jinseok Ryu, Ph.D. (jinseuk56@gmail.com)

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EELS Tomography with 1D Convolutional Autoencoder

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