Skip to content
GCC AI Research

Picture perfect X-ray capture

KAUST · · Significant research

Summary

Researchers at KAUST have developed a nanocomposite material that converts X-rays into light with nearly 100% efficiency. The material combines a metal-organic framework (MOF) containing zirconium with an organic TADF chromophore. This design achieves high resolution and sensitivity in X-ray imaging, potentially reducing medical imaging doses by a factor of 22. Why it matters: This innovation could lead to more efficient and safer medical imaging and security screening technologies in the region and beyond.

Keywords

X-ray · scintillator · nanocomposite · MOF · TADF

Get the weekly digest

Top AI stories from the GCC region, every week.

Related

High-resolution imaging of electron beam-sensitive materials

KAUST ·

KAUST researchers developed a new methodology for high-resolution transmission electron microscopy (TEM) imaging of beam-sensitive materials. The method addresses challenges in acquiring images with low electron doses, aligning images, and determining defocus values. The processes incorporate two provisional patents and are applicable to aligning nanosized crystals and noisy images with periodic features. Why it matters: This advancement enables the study of delicate materials like MOFs at atomic resolution, with broad applications in materials science and nanotechnology.

Relax! High-resolution imaging reveals atomic structure of an important plant stress factor

KAUST ·

KAUST researchers have determined the atomic 3D structure of a key protein involved in plant stress signaling using X-ray crystallography at the SOLEIL synchrotron in France. Postdoctoral fellow Umar Farook Shahul Hameed optimized a tiny crystal of the plant enzyme for over six months. The team used the EIGER 9M detector to capture the weak diffraction pattern from the crystal. Why it matters: Understanding the interactions between proteins that communicate plant stress could lead to engineering more stress-tolerant crops, enhancing food security.

AI that's built to save lives

KAUST ·

A KAUST team led by Xin Gao developed an AI model for COVID-19 detection from CT scans, addressing limitations of existing methods. The model incorporates a novel embedding strategy, a CT scan simulator, and a 2.5D deep-learning algorithm. Tested at King Faisal Specialist Hospital, the model demonstrated high accuracy in detecting COVID-19 cases. Why it matters: This research provides a valuable tool for rapid and accurate COVID-19 diagnosis in the region, especially in early-stage infections, improving healthcare outcomes.

New method used in production of faster plastic electronics

KAUST ·

KAUST researchers developed a crystallization process for organic molecules with potential applications in electronics, pharmaceuticals, and food. They produced "strained organic semiconductors," which can lead to high-performance, low-cost, flexible, and transparent electronic devices. The team combined X-ray beams with high-speed cameras to record the crystallization process, revealing that quick evaporation and nanoscale thinness play a role in producing ideal crystal lattices. Why it matters: This new method offers unprecedented control over crystal formation, potentially revolutionizing the production of plastic electronics and impacting other industries relying on specific crystal structures.