STEMDIFF :: 4D-STEM dataset to 2D-diffractogram
- The STEMDIFF package converts...
... a 4D-STEM dataset from a SEM microscope (huge and complex)
... to a 2D-powder diffraction pattern (simple and easy to work with). - If you use EDIFF in your research, please cite our recent paper:
- Microscopy and Microanalysis 31, 2025, ozaf045.
https://doi.org/10.1093/mam/ozaf045
- Microscopy and Microanalysis 31, 2025, ozaf045.
Principle
Installation
- Requirement: Python with sci-modules = numpy, matplotlib, scipy, pandas
pip install scikit-image= 3rd party package for advanced image processingpip install tqdm= to show progress meter during long summationspip install idiff= to improve diffractograms (remove noise, background ...)pip install stemdiff= STEMDIFF package itself (uses all packages above)
Quick start
- Worked example shows the STEMDIFF package in action.
- Help on GitHub with complete package documentation and additional examples.
Documentation, help and examples
- PyPI repository - the stable version to install.
- GitHub repository - the current version under development.
- GitHub Pages - the more user-friendly version of GitHub website.
Versions of STEMDIFF
- Version 1.0 = Matlab: just a simple summation of 4D-dataset
- Version 2.0 = like v.1.0 + post-processing in Jupyter
- Version 3.0 = Python scripts: summation + S-filtering
- Version 4.0 = Python package: summation + S-filtering + deconvolution
- summation = summation of all 2D-diffractograms
- S-filtering = sum only diffractograms with strong diffractions = high S
- deconvolution = reduce the primary beam spread effect ⇒ better resolution
- Version 4.2 = like v.4.0 + a few important improvements, such as:
- sum just the central region with the strongest diffractions ⇒ higher speed
- 3 centering types: (0) geometry, (1) center of 1st, (2) individual centers
- improved definition of summation and better documentation
- Version 5.0 = complete rewrite of v.4.2
- conversion 2D-diffractogram → 1D-profile moved to package EDIFF
- better filtering (including estimated number of diffractions)
- more detectors + more types of deconvolution (beta; to finish in v.6.0)
- Version 5.1 = (beta) support for parallel processing
- Version 5.2 = (beta) improvement of diff.patterns in sister package idiff
Acknowledgement
The development was co-funded by TACR, program NCK, project TN02000020.
1 maintainer
Metadata
1 maintainer
Release files for stemdiff 5.2.11
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