SAXS tensor tomography: 3D reciprocal space map reconstructions within 3D specimens (Conference Presentation)

Marianne Liebi

doi:10.1117/12.2634725

3 October 2022 SAXS tensor tomography: 3D reciprocal space map reconstructions within 3D specimens (Conference Presentation)

Marianne Liebi

Author Affiliations +

Proceedings Volume 12242, Developments in X-Ray Tomography XIV; 1224207 (2022) https://doi.org/10.1117/12.2634725
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Small-angle X-ray scattering (SAXS) probes nanoscale features in reciprocal space. Apart from statistical information of size and shape in the probed volume, the orientation of anisotropic nanostructures can be directly obtained from the anisotropy of the scattering patterns. By using a focused X-ray beam and raster-scanning a sample through the beam, images can be created with a real-space resolution defined by beam- and stepsize while each pixel contains information from the nanostructure in reciprocal space. For an extension of the technique to computed tomography, new reconstruction algorithms as well as experimental schemes probing additional tilt angles of the tomography axis have been developed in order to retrieve 3D reciprocal space maps in each voxel, extending the method to 6 dimensions. The technique is in particular powerful for hierarchical systems where relevant length scales are spanning over many orders of magnitudes. For the example of bone, the arrangement of mineralized collagen fibrils in the nanoscale can be probed over extended macroscopic samples millimeters or even centimeters in size.

Conference Presentation

Citation Download Citation

Marianne Liebi "SAXS tensor tomography: 3D reciprocal space map reconstructions within 3D specimens (Conference Presentation)", Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 1224207 (3 October 2022); https://doi.org/10.1117/12.2634725

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KEYWORDS

Tomography

Laser scattering

Nanostructures

Scattering

X-rays

Computed tomography

Image resolution

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