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 ...

A strategy to track and examine a single blood stem cell in its microenvironment using multiple imaging techniques has been developed. By integrating confocal microscopy, X-ray microscopy, and serial ...

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 ...

With the demand for high-performnce materials increasing, it has become necessary to optimize their structural properties at the nanoscale, underscoring the importance of systematic and routine ...

The FEI 200kV Titan Themis Scanning Transmission Electron Microscope (STEM) is a scanning transmission electron microscope with several key capabilities. This microscope positions Michigan Tech ...

Researchers have developed a method for scientists to track a single blood stem cell in a live organism and then describe the ultrastructure, or architecture, of that same cell using electron ...

An algorithm could accelerate the way chemists identify and analyze single-atom catalysts (J. Am. Chem. Soc. 2022, DOI: 10.1021/jacs.1c12466). Using machine learning techniques, the method scans ...

BILLERICA, Mass.--(BUSINESS WIRE)-- Bruker today announced that it has acquired Nion, a privately-held company that develops and manufactures innovative high-end scanning transmission electron ...

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 ...

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Researchers have captured time-lapse videos of stem cells dividing in growing plant roots. By watching how the cells divide in response to certain chemical signals over time, the team is uncovering ...