A method that can automatically identify and quantify materials’ microstructure from microscopic images has been developed by the research teams led by Professor Seungchul Lee of POSTECH and Dr.

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 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, ...

Scientist studying using a microscope. Image by Yakuzakorat - Own work, CC BY 4.0 Scientist studying using a microscope. Image by Yakuzakorat - Own work, CC BY 4.0 By combining 24 smartphone cameras ...

Caltech scientists have created a quantum microscope that taps into the quirky quantum rules to see tiny details much more clearly. Using pairs of entangled photons allows the instrument to double the ...