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Found 4 papers, 1 papers with code
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography
We present a method that lowers the dose required for a ptychographic reconstruction by adaptively scanning the specimen, thereby providing the required spatial information redundancy in the regions of highest importance.
Increasing Spatial Fidelity and SNR of 4D-STEM using Multi-frame Data Fusion
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.
Instrumentation and Detectors Materials Science
Overcoming information reduced data and experimentally uncertain parameters in ptychography with regularized optimization
The overdetermination of the mathematical problem underlying ptychography is reduced by a host of experimentally more desirable settings.
Design and Application of a Relativistic Kramers-Kronig Analysis Algorithm
A relativistic KKA algorithm is able to account for the bulk and surface radiative-loss contributions to low-loss EELS, revealing the correct dielectric properties.
Materials Science Applied Physics
