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 ...

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 ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular surface structure of "premelted" ice, resolving a long-standing mystery ...

Researchers say the innovation, known as SmartEM, will speed scanning sevenfold and open the field of connectomics to a ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...

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 image pair captured in the banner shows the reduction in noise and increase in image quality between standard FDK imaging (left) and Zeiss DeepRecon Pro (right). Metal syntactic foam sample ...

Schematic diagrams illustrating the atomic arrangement of an MoS₂ specimen observed using 4D-STEM, showing atomic-scale mapping in real-space coordinates x and y and corresponding diffraction patterns ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...