Human Organ Atlas: HiP-CT imaging of a healthy human brain using the ESRF-EBS скачать в хорошем качестве

Human Organ Atlas: HiP-CT imaging of a healthy human brain using the ESRF-EBS

Seeing inside a healthy brain using a new imaging technique - Hierarchical Phase-Contrast Tomography or ‘HiP-CT’. Performed at the ESRF-EBS 4th generation synchrotron in Grenoble HiP-CT is a new technique that can hierarchically image intact whole human organs. Beginning with a scan of the whole organ at the resolution of a human hair (25μm/voxel), followed by zooming in to any area at a resolution of 1/10th a human hair (6μm/voxel), and finally zooming in again to a resolution where we can see single cells (1.5μm/voxel). HiP-CT imaging of a whole brain from a 69yr old female donor using the new capabilities of ESRF-EBS. Video produced by Paul Tafforeau. Data produced on the UCL led ESRF Beamtime MD1252, investigators PD Lee, CL Walsh, P Tafforeau et al. Data is available at human-organ-atlas.esrf.eu. The brain is one of the most complex organs, controlling most of our bodily processes. In the video we can initially see the whole human brain, with the two hemispheres at the front and the cerebellum at the back. As we zoom in more features are visible including the grey and white matter and as we zoom in further the small blood vessels become visible and the layers of the cerebellum. The blood vessel network can be seen more clearly in 3D Results for scientific and medical research and educational use only. HiP-CT and the Human Organ Atlas originated from a group trying to understand how COVID-19 injures our organs. The group are now developing HiP-CT to map our organs in health and disease to better understand them from a whole organ system down to the cellular level. Please contact [email protected] for further information. Project Investigators/contributors: Peter D. Lee and Claire Walsh (UCL), Paul Tafforeau (ESRF), Danny Jonigk (Hannover), Maximilian Ackermann (Mainz), Will Wagner (Heidelberg), Joe Jacob and Simon Walker-Samuel (UCL), Mark Kuehnel and Christopher Werlein (Hannover), Alexandre Bellier (LADAF), and many others helping. We wish to thank ESRF for continuing to support this programme and the development of BM18 led by Paul Tafforeau. The authors wish to thank the various funders of the authors and this project, including: the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation; the Royal Academy of Engineering; the MRC; the Wellcome Trust; the Deutsche Forschungsgemeinschaft; the National Institutes of Health (NIH); and the German Registry of COVID-19 Autopsies (supported by the German Federal Ministry of Health).