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