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arxiv 2103.03202 v3 pith:NCSGBQFN submitted 2021-03-04 physics.ins-det cond-mat.mtrl-sci

Increasing Spatial Fidelity and SNR of 4D-STEM using Multi-frame Data Fusion

classification physics.ins-det cond-mat.mtrl-sci
keywords althoughd-datad-stemdataelectronexistingstemapplicable
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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4D-STEM, in which the 2D diffraction plane is captured for each 2D scan position in the scanning transmission electron microscope (STEM) using a pixelated detector, is complementing and increasingly replacing existing imaging approaches. However, at present the speed of those detectors, although having drastically improved in the recent years, is still 100 to 1,000 times slower than the current PMT technology operators are used to. Regrettably, this means environmental scanning-distortion often limits the overall performance of the recorded 4D data. Here we present an extension of existing STEM distortion correction techniques for the treatment of 4D-data series. Although applicable to 4D-data in general, we use electron ptychography and electric-field mapping as model cases and demonstrate an improvement in spatial-fidelity, signal-to-noise ratio (SNR), phase-precision and spatial-resolution.

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