Imaging artefacts such as rings, streaks, and double edges can impact the accuracy of grey-level measurements. For instance, in Case Study 2, the use of limited-angle tomography due to the experimental geometry introduced streaking artefacts. These were minimised by optimising the experimental setup, including a beamline configuration that reduced the number of obstructed angles. When artefacts are unavoidable, advanced reconstruction techniques such as iterative algorithms and ring artefact removal could be employed to improve image quality.