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Human Organ Atlas: HiP-CT imaging of a human heart using the ESRF-EBS Seeing inside a human heart 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 (2.5-1.5μm/voxel). HiP-CT imaging of a whole heart from a 94yr old female donor using the new capabilities of ESRF-EBS. The heart is the pump of the body, beating over 100,000 times a day, it continuously pumps around 5 litres of blood around the body every day of your life. The heart is about the size of your fist and has 4 chambers which you can see in the video at the lowest resolution. Some of the key blood vessels can also be seen including the aorta, pulmonary artery and coronary arteries. As we zoom in on the myocardium using HiP-CT you can see the organised muscle fibres which are made of small cells called cardiomyocytes that contract in unison to create the beating of the whole heart. As well as pumping blood around the body the heart also needs its own blood supply to keep the cardiomyocytes working. These blood vessels can be seen across all the resolutions in HiP-CT down to some of the smallest micro vessels at 2.5um. Video Produced by Joseph Brunet. Data produced on the UCL led ESRF Beamtimes MD1252&1290, investigators PD Lee, CL Walsh, P Tafforeau et al. Data is available at human-organ-atlas.esrf.eu. 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).