Welcome to pixStem’s documentation!¶
2018-6-28: pixStem 0.3.1 released!
This is a minor release which includes functionality for correcting both dead and hot pixels through
Featurewise it also includes a simple function for loading binary signals:
Unit testing of docstrings has been improved, with a combined setup and teardown function, and introduction of pixstem and numpy into the docstring’s namespace.
2018-6-13: pixStem 0.3.0 released!
fpd_data_processing has been renamed pixStem! This release also includes greatly improved center of mass, virtual annular dark field and virtual bright field functions, which now uses only dask array operations. This means they can return lazy signal, which makes it much easier to work with large datasets on computers with limited memory. It also includes several backend improvements to DPCSignal.correct_ramp and utility functions for getting diffraction values. A Jupyter Notebook giving a basic introduction to pixStem’s features is available at pixStem demos.
Library for processing data acquired on a fast pixelated electron detector, acquired using scanning transmission electron microscopy (STEM).
Install instructions: Installing.
pixStem is available under the GNU GPL v3 license, and the source code is found in the GitLab repository.
- Loading data
- Using the pixelated STEM class
- Analysing HOLZ datasets
- Analysing differential phase contrast data
- Generating test data
- Miscellaneous functions
- Related projects
- API documentation
2018-2-18: fpd_data_processing 0.2.1 released!
This release includes a major improvement for lazy signal processing with center of mass and radial integration. It also includes a new method for shifting diffraction patterns in the PixelatedSTEM class.
Initial work from Magnus Nord funded by EPSRC via the project “Fast Pixel Detectors: a paradigm shift in STEM imaging” (Grant reference EP/M009963/1).