Convert 4D-STEM data to a single powder diffraction pattern.
Project description
STEMDIFF :: Simple processing of 4D-STEM data
- The STEMDIFF package converts...
... a 4D-STEM dataset from a SEM microscope (huge and complex)
... to a single powder diffraction pattern (simple and easy to work with). - The STEMDIFF package is a key part of our 4D-STEM/PNBD method,
which was described (together with the package) in open-access publications:- Nanomaterials 11 (2021) 962. https://doi.org/10.3390/nano11040962
- Nanomaterials, submitted.
- If you use STEMDIFF in your research, please cite publication #2.
Principle
Documentation, help and examples
More detailed help, demo and source code including documentation are in GitHub.
Citation
Slouf M, Skoupy R, Pavlova E, Krzyzanek V: Nanomaterials 11 (2021) 962.
https://doi.org/10.3390/nano11040962
Versions of STEMDIFF
- Version 1.0 = Matlab: just simple summation of 4D-dataset
- Version 2.0 = like v1.0 + 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 effect of primary beam spread → better resolution
- Version 4.2 = like v4.0 + a few important improvements, such as:
- sum just the central region with the strongest diffractions - higher speed
- 3 centering types: (0) geometry, (1) weight of 1st, (2) individual weights
- better definition of summation and centering parameters
- better documentation strings + demo data + improved master script
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
stemdiff-4.2.7.tar.gz
(19.8 kB
view hashes)
Built Distribution
stemdiff-4.2.7-py3-none-any.whl
(21.3 kB
view hashes)