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PtyRAD: A High-Performance and Flexible Ptychographic Reconstruction Framework with Automatic Differentiation.

Chia-Hao Lee1, Steven E Zeltmann2, Dasol Yoon1,3

  • 1School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA.

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Summary

Electron ptychography reconstruction is now faster and more accessible with PtyRAD (Ptychographic Reconstruction with Automatic Differentiation). This open-source software automates complex parameter tuning, significantly reducing computation time for advanced material imaging.

Keywords:
PtyRADautomatic differentiationopen sourcephase retrievalptychography

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Area of Science:

  • Materials Science and Condensed Matter Physics
  • Computational Imaging
  • Electron Microscopy

Background:

  • Electron ptychography enables high-resolution imaging of materials in 3D.
  • Current reconstruction methods are computationally intensive and require manual parameter tuning.
  • Analysis tools are fragmented across different software, with advanced features often proprietary.

Purpose of the Study:

  • To develop an open-source software framework, PtyRAD, for efficient and automated electron ptychography reconstruction.
  • To address computational bottlenecks and the need for manual tuning in ptychographic analysis.
  • To provide a flexible and comprehensive tool for researchers in electron microscopy.

Main Methods:

  • Implemented gradient-based optimization with automatic differentiation using PyTorch.
  • Developed a real-space depth regularization technique to mitigate artifacts.
  • Integrated a Bayesian optimization workflow for streamlined hyperparameter selection.

Main Results:

  • Achieved up to a 24× speedup in reconstruction time compared to existing methods.
  • Maintained high image quality while significantly reducing computational cost.
  • Demonstrated effective artifact reduction using real-space depth regularization.

Conclusions:

  • PtyRAD offers a computationally efficient, flexible, and open-source solution for electron ptychography.
  • The software automates complex parameter optimization and improves reconstruction speed.
  • PtyRAD is expected to enhance reproducibility and foster community-driven advancements in ptychographic imaging.