P1-1/P1-2. Multimodal/Multiscale Imaging across Platforms
Project leader: Andrew Kingston (Applied Maths, RSPhys ANU)
Industry partner: U. Garbe, M. de Jonge, C. Hall & A. Stepheneson, ANSTO
- Multimodal/Multiscale imaging across platforms - Integration of information from different imaging modalities (X-rays/neutrons) to better understand sample properties/dynamics.
- Forward modelling dynamic imaging experiments. Example of dynamic experiments are compression tests of components, and fluid flow through rocks.
- Develop experimental protocols, techniques and workflows to make developments routine.
Alignment within M3D Innovation:
- The research undertaken here will enhance the suite of 3D imaging capabilities available to researchers within M3D Innovation.
- Explore the use of correlative tomography, e.g., X-ray & neutron CT. Develop techniques to combine, segment & interpret the data.
- Develop multi-energy X-ray tomography techniques (such as K-edge imaging, or using Alvarez-Macovski attenuation model) for potential material composition.
- Incorporating attenuation information into X-ray fluorescence (XRF) tomographic reconstruction to correct for reabsorption and become more quantitative.
- Explore techniques such as speckle-tracking to measure phase and darkfield (scatter) with both neutrons and X-rays to provide more sample property information.
- Fast X-ray and neutron tomography at ANSTO facilities for dynamic studies.
- Registered and segmented data from DINGO and CTLab correlative analysis.
- Dual-energy tomography enabling differentiation of material-phases otherwise difficult to identify otherwise.
- Improve XRF quantification on XFM beamline through incorporation of X-ray attenuation tomography.
- Identify suitable “speckle” mask and develop speckle tracking protocol and data analysis.
- Imaging of a dynamic experiment on each of IMBL and DINGO.