If humans need X-rays, materials do too

 

By Luis Calero Lumbreras

This month’s visual captures the inner architecture of a bioabsorbable metal scaffold revealed without a single cut, thanks to X-ray computed microtomography (µCT). Just like doctors rely on radiographs to see inside us, engineers use µCT to see inside materials: to check porosity, strut thickness, connectivity and defects that dictate performance and safe resorption.

In simple terms, µCT is a non-destructive 3D X-ray scan. The sample is rotated and imaged from many angles then powerful algorithms then reconstruct a detailed 3D model at micrometre resolution. That lets us quantify how these scaffolds will carry load, guide tissue growth and gradually dissolve in the body.

At the BCD Group together with the X-ray Characterization of Materials Group lead by Dr. Federico Sket in IMDEA Materials, we combine µCT with a broad suite of characterisation tools (from advanced microscopy and in-situ mechanical testing to thermal and spectroscopic analyses) to give a complete picture of how materials behave, evolve and ultimately perform.

Luis Calero Lumbreras

M.Sc. Biomedical Engineering

Luis Calero is a Ph.D. student in the BCD Group at IMDEA Materials Institute. He holds a degree in Biomedical Engineering from the Universitat Politècnica de València and has a multidisciplinary background in biomaterials, biomechanics, and industrial design. His current research focuses on the introduction of geometrical gradients in Zn-based scaffolds by Laser Powder Bed Fusion, aiming to develop advanced biodegradable implants.

Image of the month - October 2025

µCT a of Metallic Bioabsorbable Scaffold

By Luis Calero Lumbreras

In L-PBF, understanding how process parameters affect outcomes requires rigorous material characterization. A key method is X-ray microtomography (µCT), which enables non-destructive 3D inspection of parts to quantify porosity, defect morphologies, inclusions and microcracks. By combining systematic build campaigns with µCT, researchers can map the material’s response to each process setting and define robust operating windows. In this way, µCT becomes the “eyes” of L-PBF optimizing parameters and accelerating decision-making.

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