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 ...

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 ...

How do cells acquire their identities? In hopes of answering this question, a Duke team recently completed a study explaining the expression of stem cells after a decade of research. Stem cells are ...

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 ...

Electron microscopy has evolved into a suite of sophisticated techniques essential for investigating the structure and properties of materials at the nanoscale and beyond. By utilising focused ...

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 ...

4D STEM is currently used in many TEM projects and is for sure on every electron microscopist’s “must-watch” list. Recent advancements in TEM technology, particularly the hybrid-pixel direct electron ...

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 ...

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 ...

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 ...