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Podcast cover art for: How a particle accelerator illuminated 56 human organs
Science Friday
Ira Flatow·17/04/2026

How a particle accelerator illuminated 56 human organs

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Below is a short summary and detailed review of this podcast written by FutureFactual:

High-Resolution 3D Organ Atlas: Public database of 56 organs scanned with a particle accelerator

Overview

Science Friday producer Ira Flatow hosts Dr. Claire Walsh to discuss the Human Organ Atlas Hub, a public database of 56 human organs scanned with a particle accelerator. The project began during the COVID-19 pandemic to study lung involvement and expanded to other organs, offering an interactive viewing portal and access to the underlying data much like Google Earth for organs.

  • Public database of 56 human organs scanned with HIP CT
  • Interactive 3D exploration and access to real data
  • Public education and research applications across anatomy, AI, and clinical studies
  • Ambitious future goals including whole-body cadaver imaging

Introduction and project scope

The podcast introduces the Human Organ Atlas Hub, a public database that visualizes 56 human organs in high detail. Dr. Claire Walsh explains that the project grew out of collaboration with medical researchers during the COVID-19 pandemic to better understand lung involvement in patients, and quickly broadened to other organs. The atlas provides an online viewing portal for exploring 3D organ anatomy, with interactive explore/search functions and access to the actual data sets. "This imaging technique is called HIP CT, Hierarchical Phase Contrast Tomography. It doesn't have anything to do with hip joints. That's just the acronym." - Dr. Claire Walsh

Technology and data

Walsh describes the imaging method as HIP CT, a form of tomography that leverages synchrotron radiation from a particle accelerator, in contrast to conventional hospital CT. The European Synchrotron Radiation Facility in Grenoble bends fast-moving electrons to generate extremely bright X-rays, enabling higher resolution imaging. The result is a level of detail that surpasses standard CT, allowing researchers to discern microstructures in tissues. The data sets are enormous, often terabytes in size, prompting the Atlas team to innovate in data accessibility and interactive visualization so researchers worldwide can engage with the material. "we go down to one micrometer" - Dr. Claire Walsh

Applications and AI

Beyond education, the atlas enables AI-assisted segmentation of organs, notably the blood vessel networks in kidneys. The data support investigations into how vasculature varies by sex, age, and disease states and extend to brain connectivity through white matter pathways. The team is exploring how anatomical detail informs our understanding of congenital heart disease and surgical planning, with imaging data enabling new insights into how organs function as integrated systems. "we do AI assisted segmentation of structures, like looking at the blood vessel network in the human kidney" - Dr. Claire Walsh

Clinical relevance and future directions

In the near term, these high-resolution organ images can augment medical education and surgical training, while researchers compare hyp CT data with clinical MRI or CT scans to extract features that may be visible only at ultra-high resolution. Walsh notes a longer-term goal of scanning an intact whole human cadaver within five years to preserve inter-organ connectivity and better model physiological function. This holistic approach could transform how we study disease and tailor interventions. "the next sort of five years is to be able to scan an intact whole human cadaver" - Dr. Claire Walsh