Alignment of electron optical beam shaping elements using a convolutional neural network
- PMID: 34218137
- DOI: 10.1016/j.ultramic.2021.113338
Alignment of electron optical beam shaping elements using a convolutional neural network
Abstract
A convolutional neural network is used to align an orbital angular momentum sorter in a transmission electron microscope. The method is demonstrated using simulations and experiments. As a result of its accuracy and speed, it offers the possibility of real-time tuning of other electron optical devices and electron beam shaping configurations.
Keywords: Beam Shaping; Convolution neural network; Orbital Angular Momentum Sorter; Self-Alignment.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.
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