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The University of Southampton
µ-VIS: Multidisciplinary, Multiscale, Microtomographic Volume Imaging

µ-VIS X-ray Imaging Centre

A Centre for Computed Tomography at Southampton

serving the Biomedical, Engineering, Environmental and Archeological sciences | www.muvis.org

About the centre

The µ-VIS X-Ray Imaging Centre combines state-of-the-art equipment and 20 years of experience, plus the expertise of over 40 academic staff from across the university. The centre constitutes a strategic multimillion pound investment (>£5M) in high resolution X-Ray tomographic imaging,offering a unique user experience for advanced 3D imaging. We specifically aim to provide a holistic approach to advanced 3D (volume) imaging, supporting all steps between original domain problem/query, through to verified, publishable conclusions.

People

μ-VIS Staff and Academic affiliates

phoyograph of μvis walk in room scanner

Equipment

Complementary X-CT systems supporting a range of sample sizes and spatial resolutions as well as in situ experiments

school desk UoS stock image

Training & Workshops

µ-VIS organises training sessions on a regular basis and occasional workshops on more specialised topics

Case studies

Case studies

µ-VIS contribution to a number of representative projects

Announcements

  • Correlative Imaging Forum - An open discussion platform that brings together research staff from the Biomedical Imaging Unit (BIU) and the µ-VIS X-Ray Imaging Centre working on correlative imaging

Foundations for routine 3D X-ray histology (XRH)

Setting the foundations for X-ray micro-computed tomography workflow for non-destructive 3D X-ray histology (XRH): X-ray imaging by micro-computed tomography (uCT) is a key technique in the rapidly developing field of 3D microscopy. Until recently, 3D imaging of wax-embedded histological tissues was beyond the reach of microCT. However, we have shown that it is possible to non-invasively generate microstructural detail from standard tissue blocks and have provided evidence that this can overturn misconceptions of disease development when just relying on 2D assessment. Building on our previous Wellcome Trust Pathfinder funding, we will develop a research capability, emphasising X-ray hardware performance and flexibility, large-scale computing resource/tools and validation with 2D histology.

www.xrayhistology.org
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