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HoToPy: a toolbox for X-ray holo-tomography in Python.

Jens Lucht1, Paul Meyer1, Leon Merten Lohse1

  • 1Georg-August-Universität Göttingen, Institut für Röntgenphysik, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany.

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Summary
This summary is machine-generated.

This Python toolbox offers advanced phase retrieval algorithms for X-ray imaging. It aids in developing and applying holographic and tomographic imaging techniques for scientific discovery.

Keywords:
X-ray imagingcomputed tomographyholographyphase contrastphase retrieval

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Area of Science:

  • Physics
  • Materials Science
  • Computational Science

Background:

  • Holographic and tomographic X-ray imaging are powerful techniques for nanoscale material analysis.
  • Phase retrieval is crucial for reconstructing images from X-ray diffraction data.
  • Existing software solutions may lack flexibility or comprehensive algorithm choices.

Purpose of the Study:

  • To introduce a versatile Python toolbox for advanced X-ray imaging.
  • To provide a unified interface for various phase retrieval algorithms.
  • To facilitate algorithmic development and integration into existing imaging pipelines.

Main Methods:

  • Implementation of diverse phase retrieval algorithms (non-linear, regularization, constraint sets, optimizers).
  • Inclusion of auxiliary functions for alignment, image processing, and simulation.
  • Modular design for flexibility in algorithmic development and benchmarking.

Main Results:

  • Demonstration of the toolbox's capability using a catalytic nanoparticle example.
  • Successful imaging in the deeply holographic regime at a synchrotron facility (PETRA III).
  • Validation of the toolbox's utility for phase imaging based on propagation.

Conclusions:

  • The Python toolbox provides a flexible and comprehensive solution for holographic and tomographic X-ray imaging.
  • It supports algorithmic development, benchmarking, and integration with synchrotron and X-ray free-electron laser instruments.
  • This tool enhances the accessibility and application of advanced X-ray phase imaging techniques.