Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Using machine learning to guide microscopes could reveal greater insights into the brain's connectome and deepen our ...
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 ...
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there ...
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 ...
UIUC's platform, christened Stomata In-Sight, combines laser scanning confocal microscopy, gas exchange instruments and ...
Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation pipelines.
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