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 ...

Standard genetic sequencing approaches can tell you a lot about the genetic makeup and activity in a sample, like a piece of tissue or drop of blood. But they don't tell you where specific genetic ...

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 ...

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...

It takes just a few milliseconds: A vesicle, only a few nanometers in size and filled with neurotransmitters, approaches a cell membrane, fuses with it, and releases its chemical messengers into the ...

New research from scientists at the University of Birmingham and other institutions describes a method of counting labeled proteins in living cells dubbed Protein-tag Degree of Labeling (PRoDOL) that ...

A team has reported a Raman microscopy technique that produced images up to eight times brighter than those achieved with conventional Raman techniques. Imaging of frozen biological samples reduced ...

Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown. The team showed that ...

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.