Multiphoton microscopy is used in biomedical research to study cells and tissues. Today, so-called two-photon microscopy is used to study processes within cells, but the technique has limitations in ...
An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...
When cell samples stained with these molecules are examined using two-photon microscopy, the molecules behave as if they were ...
A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
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 ...
The brain relies on real-time delivery of oxygen and nutrients through its microvasculature, which threads through neural ...
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 ...
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 ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results