Abstract-This paper describes results from the fast 3D scanning project conducted at Sheffield Hallam University in collaboration with Museums Sheffield. We focus on the technological aspects that are required for fast scanning and discuss the steps in the process from scanning and noise removal to 3D post-processing and how the resulting 3D models can be made available on a standard web browser. We also discuss some implications to the teaching and learning of 3D technologies to undergraduate and postgraduate courses.

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Having gained some clinical experience before pursuing a research career, Lucy Davison is now seeking the best of both worlds as a clinician scientist

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ObjectivesDiabetes mellitus (DM) is a common condition that markedly impacts quality of pet cats and dogs. The aim of this study was to identify DM-associated perturbations in the feline pancreatic islet microenvironment. The utility of "clear, unobstructed brain imaging cocktails and computational analysis" (CUBIC) for three-dimensional (3D) pancreatic analysis was investigated.