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Adaptively coupled phase retrieval in multi-peak Bragg coherent diffraction imaging.

J Nicholas Porter1, Yueheng Zhang2, Ross J Harder3

  • 1Department of Physics and Astronomy Brigham Young University,Provo UT 84602 USA.

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|February 6, 2026
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Summary
This summary is machine-generated.

A new coupled phase retrieval technique for multi-peak Bragg coherent diffraction imaging (BCDI) enables simultaneous analysis of multiple Bragg peaks. This method enhances crystal imaging and strain microscopy, reducing manual data processing.

Keywords:
Bragg coherent diffraction imagingX-ray diffractionphase retrievalstrain microscopy

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Area of Science:

  • Materials Science
  • Crystallography
  • Imaging Techniques

Background:

  • Bragg coherent diffraction imaging (BCDI) now routinely measures multiple Bragg peaks per crystal.
  • Lattice distortion fields are derived from these peaks, providing strain and rotation data.
  • High data rates from new synchrotrons necessitate rapid analysis.

Purpose of the Study:

  • To develop and demonstrate a coupled phase retrieval technique for multi-peak BCDI.
  • To enable simultaneous analysis of multiple Bragg peaks for 3D crystal imaging.
  • To improve data processing efficiency and robustness for high-throughput applications.

Main Methods:

  • A novel coupled phase retrieval algorithm was implemented for multi-peak BCDI datasets.
  • The technique simultaneously processes all Bragg peaks from a single crystalline grain.
  • Redundant information across diffraction patterns was used for signal correction.

Main Results:

  • The method produced 3D images of crystal morphology and lattice distortion.
  • It effectively detected and suppressed spurious detector signals.
  • Adaptive coupling yielded more consistent phase profiles and sharper surfaces than manual editing.

Conclusions:

  • The new technique enables robust, high-throughput analysis of multi-peak BCDI data.
  • It supports near-real-time strain microscopy at modern synchrotron facilities.
  • Reduced manual preprocessing significantly streamlines scientific workflows.