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 ...

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 ...

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 ...

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 ...

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 AI method that produces sharp microscopy images throughout thick biological samples. This video shows how the method, DeAbe, restores highly dynamic time-lapse images ...

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 ...

Researchers at Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) have developed an innovative microscopy ...