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Engineering and technology
- Photonics, light and lighting
- Destructive and non-destructive testing of materials
- Data visualisation and imaging
4D X-ray micro-computed tomography imaging (4D-μCT) has quickly become established in numerous scientific disciplines as a driver of new insights for the study of dynamic µm-scale processes. Groundbreaking insights often arise from the co-development of innovative dynamic scientific experimental setups that exploit the peculiarities of the (lab- or synchrotron-based) μCT system, their hardware and their reconstruction/analysis software. Unfortunately, conventional parallel-beam geometries at synchrotron facilities are inefficient, placing a hardware limit on achievable spatio-temporal resolution. At the same time, the complexity of conventional frame-based 4D reconstruction and analysis scales superlinearly with increasing resolution both in time and space, causing a software-imposed data bottleneck. To ensure that cutting-edge dynamic experimental insights can continue to improve, we propose a paradigm shift in the way we build μCT setups, do dynamic experimental design and reconstruct/analyse 4D data. This project will leverage the unique and complementary imaging development capabilities at the Sirius Synchrotron Light Source (Brazil) and the Ghent University Centre for X-ray Tomography (Belgium) to co-design new hardware and software paradigms for dynamic 4D-μCT, and to validate them on a use case regarding fluid transport during hydrogen storage in porous rock formations.