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Open-Source Code

MAPED

Multi-angle precession electron diffraction patterns combined into a MAPED diffraction map

MAPED (multi-angle precession electron diffraction) is an open-source experimental and computational approach for generating 4D-STEM datasets that offer many of the advantages of precession experiments without requiring dedicated hardware. Multiple datasets are acquired at different beam tilts and computationally combined during post-processing.

Authors: S. M. Ribet*, R. Dhall*, C. Ophus, K. C. Bustillo

Links: Source code · Paper

quantEM

quantEM logo

quantEM is a quantitative electron microscopy data analysis toolkit built on PyTorch. It brings together tools for reconstructing or analyzing a wide range of transmission electron microscopy (TEM) techniques, including nanobeam diffraction, phase retrieval, real-space imaging and tomography, spectroscopy, and related analyses within a consistent, GPU-accelerated API.

Links: Source code · Tutorials

py4DSTEM

py4DSTEM logo

py4DSTEM is an open-source set of Python tools for processing and analyzing four-dimensional scanning transmission electron microscopy (4D-STEM) data, including nanobeam and large-convergence-angle diffraction data.

Links: Source code · Tutorials · Paper

References
  1. Ribet, S. M., Dhall, R., Ophus, C., & Bustillo, K. C. (2025). Multi-angle Precession Electron Diffraction (MAPED): A Versatile Approach to 4D-STEM Precession. Microscopy and Microanalysis, 31(6). 10.1093/mam/ozaf103
  2. Savitzky, B. H., Zeltmann, S. E., Hughes, L. A., Brown, H. G., Zhao, S., Pelz, P. M., Pekin, T. C., Barnard, E. S., Donohue, J., Rangel DaCosta, L., Kennedy, E., Xie, Y., Janish, M. T., Schneider, M. M., Herring, P., Gopal, C., Anapolsky, A., Dhall, R., Bustillo, K. C., … Ophus, C. (2021). py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis. Microscopy and Microanalysis, 27(4), 712–743. 10.1017/s1431927621000477