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A benchmark dataset and baseline methods for four-dimensional STEM diffraction patterns

Guan, Yuyan et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Four-dimensional scanning transmission electron microscopy (4D-STEM) records a two-dimensional diffraction pattern at each electron-probe position, yielding spatially resolved reciprocal-space information but large, heterogeneous data volumes. Here we describe 4D-ImageNet, a collection of 174,000 di
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