One major obstacle that prohibits the scale up of the XRD-CT technique and its widespread adoption to study large samples is the parallax artefact. In wide angle scattering-based CT experiments, it is generally assumed that the X-rays, whether scattered or diffracted, arrive at the same detector element when measured at any given scattering angle 2θ across the sample's thickness, as depicted in Figure . This assumption holds when the sample thickness is relatively small, typically on the order of a few millimeters. However, for thicker samples, this assumption becomes invalid. In these cases, diffracted X-rays measured at a specific 2θ angle are detected by multiple detector elements due to the significantly varying distances between components within the sample and the detector. This phenomenon, known as the parallax effect, exhibits a tan(2θ) dependency . The parallax effect is further illustrated in Figure . As a result of this effect, artefacts may manifest as shifts in peak position, peak broadening, or even peak splitting . In our previous work, we developed a reconstruction approach, termed "direct least-squares reconstruction" (DLSR) algorithm, which overcomes the parallax artefact in XRD-CT data . Conventionally, the XRD-CT sinogram data are reconstructed one-by-one, typically using the filtered back projection algorithm, yielding an XRD-CT reconstructed volume. The next step involves the analysis of all the local diffraction patterns in this reconstructed XRD-CT volume which can be single, multi-peak fitting or full profile analysis using methods such as LeBail or Rietveld. The DLSR was implemented using the TOPAS software 52 version 7 and combines the reconstruction and full profile analysis steps into a single step. To clarify, the sinogram XRD-CT (projection) data are fitted and the results are real-space maps corresponding to the various properties of the model that is being refined (e.g. scale factor, lattice parameter and crystallite size maps for each phase). This approach yields parallax artefact-free images but has some severe limitations: