4D scanning transmission electron microscopy
PulseAugur coverage of 4D scanning transmission electron microscopy — every cluster mentioning 4D scanning transmission electron microscopy across labs, papers, and developer communities, ranked by signal.
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New neural network Multi4D maps material interfaces with 98.82% accuracy
Researchers have developed Multi4D, a novel neural network framework designed to analyze complex material interfaces using four-dimensional scanning transmission electron microscopy (4D-STEM). This system integrates a D…
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Deep learning framework enables faster, cross-material ptychographic reconstruction
Researchers have developed a novel deep learning framework for ptychographic phase reconstruction, significantly reducing computational costs associated with large-scale 4D-STEM data. This new method directly predicts f…
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Automated 4D-STEM routine enhances electron microscopy data acquisition and analysis
Researchers have developed an automated routine for acquiring and analyzing 4D-STEM data in electron microscopy experiments. This new system leverages programming interfaces to control microscope functionalities, enabli…
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New method aligns AI self-supervised learning with scientific imaging physics
Researchers have developed a new method for designing data augmentations in self-supervised learning (SSL) specifically for scientific imaging. This approach, termed physics-aligned augmentation, considers the unique sy…