Researchers have developed a deep learning algorithm for removing systematic effects from atomic force microscopy images, enabling more precise profiles of material surfaces. Atomic force microscopy, ...

The research, published in Nature Communications, opens the door to more accessible microscopy for labs around the world. The new technique allows for high-resolution, atomic-scale images without the ...

In a study published in Science Advances, a team of bioengineering researchers at the University of Illinois Urbana-Champaign developed an algorithm known as adaptive intersection maximization, or AIM ...

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 ...

A research team at the University of Tokyo has built a fluorescence microscopy system that can detect fleeting magnetic ...

The microscopic world of cells and bacteria is incredibly important to understand, but tricky to study in detail, especially without harming the subjects. Researchers at EPFL have now developed a new ...

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 ...

A microscope built in the UK is the first in the world to produce 3-D internal pictures of objects. This microscope combines two techniques, X-ray microtomography -- which produces 3-D images from a ...

Atomic force microscopy, or AFM, is a widely used technique that can quantitatively map material surfaces in three dimensions, but its accuracy is limited by the size of the microscope’s probe. A new ...