Ptychography 4.0 Software

This repository collects implementations for ptychography that result from the work of the Ptychography 4.0 project.

Installation

The short version:

$ virtualenv -p python3.9 ~/ptychography-venv/
$ source ~/ptychography-venv/bin/activate
(ptychography-venv) $ pip install ptychography40

Please see our documentation for details!

Applications

• Scalable, parallel implementation of the Single Side Band method that is suitable for live data processing.

Please see the algorithms section of our documentation for details!

Ptychography 4.0 is evolving rapidly and prioritizes features following user demand and contributions. In the future we’d like to implement more ptychography methods. If you like to influence the direction this project is taking, or if you’d like to contribute, please contact us in the GitHub Issue tracker.

License

Ptychography 4.0 is licensed under GPLv3.

Documentation

Contents:

• Installation
  • The short version
  • Linux and Mac OS X
  • CuPy
  • Windows
  • Jupyter
  • JupyterHub
  • Troubleshooting
• Algorithms
  • Single side band
  • Tools for iterative algorithms
• Public datasets
  • 4D STEM
• Reference
  • Single Side Band
  • Stitching
  • Common
  • Indices and tables
• Changelog
  • 0.2.0.dev0 (continuous)
  • 0.1.0 (2021-07-01)
• Contributing
  • Development principles
  • Code contributions
  • Running the tests
  • Code style
  • Building the documentation
  • Advanced
• Citing
• Acknowledgments
  • Creators
  • Contributions
  • Notable upstream projects
  • Funding
  • Ptychography 4.0 partner institutions
• Releasing
  • Release checklist

Indices and tables

• Index

• Module Index

• Search Page

Citations

[PLY+15]

Timothy J. Pennycook, Andrew R. Lupini, Hao Yang, Matthew F. Murfitt, Lewys Jones, and Peter D. Nellist. Efficient phase contrast imaging in STEM using a pixelated detector. part 1: experimental demonstration at atomic resolution. Ultramicroscopy, 151:160–167, apr 2015. doi:10.1016/j.ultramic.2014.09.013.

[SCWMC21]

Achim Strauch, Alexander Clausen, Dieter Weber, and Knut Müller-Caspary. High-resolution 4D STEM dataset of SrTiO3 along the [1 0 0] axis at high magnification. July 2021. Achim Strauch and Knut Müller-Caspary were supported by funding from the Initiative and Network Fund of the Helmholtz Association (Germany) under contract VH-NG-1317 (moreSTEM project). Knut Müller-Caspary acknowledges support from Helmholtz within the project "Ptychography 4.0" under contract ZT-I-0025. doi:10.5281/zenodo.5113449.

[SWC+21]

Achim Strauch, Dieter Weber, Alexander Clausen, Anastasiia Lesnichaia, Arya Bangun, Benjamin März, Feng Jiao Lyu, Qing Chen, Andreas Rosenauer, Rafal Dunin-Borkowski, and Knut Müller-Caspary. Live processing of momentum-resolved STEM data for first moment imaging and ptychography. Microscopy and Microanalysis, pages 1–15, aug 2021. doi:10.1017/s1431927621012423.

[SWCMC21]

Achim Strauch, Dieter Weber, Alexander Clausen, and Knut Müller-Caspary. Synthetic 4D STEM dataset based on a SrTiO3 supercell with two additional artificial spatial frequencies. July 2021. Achim Strauch and Knut Müller-Caspary were supported by funding from the Initiative and Network Fund of the Helmholtz Association (Germany) under contract VH-NG-1317 (moreSTEM project). Knut Müller-Caspary acknowledges support from Helmholtz within the project "Ptychography 4.0" under contract ZT-I-0025. doi:10.5281/zenodo.5113235.