Quantum simulations that bypass resolution limits offer insights into high-temperature superconductivity

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...
AZOM

Material Identification: A Novel Approach with Spectral CT

Micro-computed tomography (micro-CT) is considered an essential tool for characterizing the internal structure of samples in a non-destructive manner. Although micro-CT technology is great for ...
AZoOptics

Hyperspectral Imaging and AI Detect Cellular Oxidative Stress

Combining hyperspectral imaging and AI, this research identifies oxidative stress in red blood cells, paving the way for ...
EurekAlert!

Revolutionizing GM rice seed detection: Novel spectral phenotyping and deep learning approach unveiled

Cereals, crucial for food and biofuel, are increasingly using genetically modified (GM) technology in production to enhance resistance and nutrition. Despite biosafety concerns, precise detection ...
EurekAlert!

Spectral and machine learning approach enhances efficiency of grape embryo rescue

Seedlessness is an economically valuable trait, with over 85% of cultivated seedless grapes belonging to the pseudo-parthenocarpic type, where embryo growth aborts mid-development. Embryo rescue ...
Santé log

Philips receives FDA 510(k) clearance for Verida, the world’s first AI-powered detector-based spectral CT*, advancing diagnostic precision across clinical applications

Combining always-on spectral imaging with AI reconstruction to deliver enhanced levels of image quality, efficiency, and clinical insight across radiology, cardiol ...