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Related Experiment Video

Updated: Sep 12, 2025

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Published on: May 27, 2008

Texture tomography with high angular resolution utilizing sparsity.

Mads Carlsen¹, Florencia Malamud¹, Peter Modregger^2,3

¹Paul Scherrer Institut 5232 Villigen PSI Switzerland.

Journal of Applied Crystallography

|August 8, 2025

Summary

This summary is machine-generated.

This study presents a new method for reconstructing X-ray diffraction tomography data from complex materials. The approach enables detailed 3D mapping of microstructures, even in challenging samples like shot-peened martensite.

Keywords:

3D X-ray diffraction 3D-XRD X-ray diffraction computed tomography XRD-CT texture analysis tomography

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Last Updated: Sep 12, 2025

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Published on: August 16, 2012

Area of Science:

Materials Science
Crystallography
Data Science

Background:

Scanning probe X-ray diffraction tomography is crucial for analyzing material microstructures.
Reconstructing data from anisotropic polycrystalline samples with sparse textures presents significant challenges.
Existing methods often struggle with samples containing small, highly mosaic crystalline domains.

Purpose of the Study:

To develop a novel reconstruction approach for scanning probe X-ray diffraction tomography data.
To enable stable, high-resolution mapping of orientation distribution functions in 3D bulk samples.
To overcome limitations of existing methods, particularly for samples with sparse textures and mosaic microstructures.

Main Methods:

Reconstruction of a voxel map containing orientation distribution functions for each voxel.
Utilizing non-negativity in orientation space with specific basis functions for sparse textures.
Avoiding traditional peak-finding steps, making the method applicable to challenging crystalline structures.

Main Results:

Stable solutions achieved at high angular resolutions, even in underdetermined scenarios.
Successful mapping of twinning microstructure in the interior of a shot-peened martensite sample.
Demonstrated applicability to gastropod shell with a mosaic microstructure, requiring only a single rotation axis.

Conclusions:

The developed method offers a robust approach for X-ray diffraction tomography data reconstruction.
It effectively handles anisotropic polycrystalline samples and utilizes texture sparsity for efficient data acquisition.
This technique expands the capability to analyze complex microstructures in bulk materials without resolving individual lattice domains.