An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...

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 ...

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 ...

Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch processing.

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 ...

When cell samples stained with these molecules are examined using two-photon microscopy, the molecules behave as if they were ...

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 ...

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 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 ...