On 2018 our team was awarded an £1.14M follow-up* Wellcome Trust, Biomedical Resource and Technology Development grant to further develop a flexible technique for non-destructive 3D  (volume) imaging and analysis of standard tissue samples via X-ray micro-computed tomography (µCT).

The the technique, which we identify as 3D X-ray Histology (XRH) is integrating precise registration and correlation with conventional histopathology and will support high-throughput imaging of routinely prepared formalin-fixed and paraffin embedded tissue specimens and standarised and automated workflows, through new X-ray equipment. We envisage this to be directly translated into next-generation clinical image-based diagnostics and patient stratification using artificial intelligence and deep learning

^{* (2016-2017) Wellcome Trust, Pathfinder Award, “Development of micro-computed tomography (μCT) for enhanced diagnosis and prognosis in interstitial lung diseases (ILD)”}