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Mapping data between sample and detector conjugated spaces in Bragg coherent diffraction imaging.

David Yang1, Nicholas W Phillips1, Felix Hofmann1

  • 1Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.

Journal of Synchrotron Radiation
|November 14, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a universal coordinate frame for Bragg coherent X-ray diffraction imaging (BCDI), simplifying nanoscale strain analysis. The new simulation tool standardizes data mapping across different experimental setups, aiding researchers in crystal imaging.

Keywords:
Bragg coherent X-ray diffraction imagingcrystal reflectiondetector conjugated spacesimulationspace transformation

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Area of Science:

  • Materials Science
  • Crystallography
  • Imaging Techniques

Background:

  • Bragg coherent X-ray diffraction imaging (BCDI) enables non-destructive, nanoscale strain imaging in micro-crystals.
  • Accurate mapping of experimental data from detector coordinates to sample-attached coordinates is challenging due to varying beamline conventions.
  • Existing reconstruction and mapping scripts are often beamline-specific and not easily transferable.

Purpose of the Study:

  • To develop a universal simulation framework for BCDI data.
  • To overcome the challenge of coordinate mapping across different BCDI beamlines.
  • To create a flexible toolkit for BCDI data analysis and simulation.

Main Methods:

  • A BCDI experiment simulation incorporating a plugin script was developed.
  • The script converts all beamline angles to a universal, right-handed coordinate frame using three rotation matrices.
  • The simulation translates 3D objects to different BCDI coordinate frames and generates synthetic diffraction data.

Main Results:

  • A universal coordinate frame simplifies data mapping for BCDI experiments.
  • The simulation allows for the generation of synthetic data compatible with existing reconstruction algorithms.
  • Provided scripts facilitate mapping between sample and detector spaces for various reflections and geometries.

Conclusions:

  • The developed simulation toolkit offers a flexible and adaptable solution for BCDI data analysis.
  • This approach standardizes data handling, making BCDI more accessible to new users.
  • The tool is expected to aid in phasing challenging data and exploring novel BCDI geometries and data collection methods.