By combining two fundamentally different microscopy techniques, researchers can now measure the optical properties of a ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Understanding the behavior of the molecules and cells that make up our bodies is critical for the advancement of medicine. This has led to a continual push for clear images of what is happing beyond ...
15don MSN
Deformable lens enables real-time correction of image aberrations in single-pixel microscopy
Researchers from the Optics Group at the Universitat Jaume I in Castellón have managed to correct in real time problems related to image aberrations in single-pixel microscopy using a recent ...
Researchers have developed a new method for pancreatic cancer phenotyping using label-free optical microscopy coupled with a deep learning artificial intelligence algorithm. Using this approach, it ...
A new AI model generates realistic synthetic microscope images of atoms, providing scientists with reliable training data to accelerate materials research and atomic scale analysis. (Nanowerk ...
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there ...
Scanning transmission electron microscopy, or STEM, is a powerful imaging technique that enables researchers to study a material’s morphology, composition, and bonding behavior at the angstrom scale.
Current genetic sequencing techniques can provide much information about the genetic makeup and activity in a sample, like a piece of tissue or a drop of blood. But they are unable to reveal where ...
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