The authors present phaser, an extensible Python framework for electron ptychography that reports a 6x iteration-speed improvement over fold_slice/PtychoShelves with its JAX backend.
phaser: A unified and extensible framework for fast electron ptychography
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abstract
We present \code{phaser}, an open-source Python package that provides a unified interface to both conventional and gradient descent-based ptychographic algorithms. Features such as mixed-state probe, probe position correction, and multislice ptychography make experimental reconstructions practical and robust. Reconstructions are specified in a declarative format and can be run from a command line, Jupyter notebook, or web interface. Multiple computational backends are supported to provide maximum flexibility. With the JAX computational backend, a six-fold improvement in iteration speed is achieved over a widely used package implemented in MATLAB, fold\_slice/PtychoShelves. We report reconstruction success for a variety of experimental datasets, and detail the effects of regularization on convergence and reconstruction quality. The software promises to speed the application and development of ptychographic methods for materials science.
fields
physics.comp-ph 1years
2025 1verdicts
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phaser: A unified and extensible framework for fast electron ptychography
The authors present phaser, an extensible Python framework for electron ptychography that reports a 6x iteration-speed improvement over fold_slice/PtychoShelves with its JAX backend.