Machine learning is supposed to help us do everything these days, so why not electron microscopy? A team from Ireland has done just that and published their results using machine learning to enhance ...

The special Collection “Machine learning for automated experimentation in STEM” explores all aspects of the integration of machine learning (ML) into STEM to transform experimental workflows. This ...

The global transmission electron microscope market is rapidly expanding due to the increasing demand for analytical and structural characterization of nanostructured materials and is projected to ...

Attending the RAISe+ Scheme Signing Ceremony are Professor Chen Fu-Rong (2nd left) and his research team members: Professor Hsueh Yu-Chun (1st left), Dr Chen Yan (2nd right) and Mr Chen Yuchi (1st ...

MISSOULA, Mont. — Montana Tech will be able to better explore worlds invisible to the naked eye after the delivery of a $1 million multifunctional transmission electron microscope. It will ...

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.

TEM works by accelerating electrons, typically with energies between 80 and 300 kV, and directing them through a specimen thin enough for electron transmission. Because of their very short wavelength ...

Electron microscopy is a powerful technique that provides high-resolution images by focusing a beam of electrons to reveal fine structural details in biological and material specimens. 2 Because ...

Scanning Electron Microscopy (SEM) has revolutionized the realm of microscopic analysis. By delivering astonishingly detailed images of minuscule entities such as insects, bacteria, or even the ...