Alignment of electron optical beam shaping elements using a convolutional neural network

E. Rotunno; A. H. Tavabi; P. Rosi; S. Frabboni; P. Tiemeijer; R. E. Dunin-Borkowski; V. Grillo

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arXiv · 2101.04358

Alignment of electron optical beam shaping elements using a convolutional neural network

E. Rotunno·A. H. Tavabi·P. Rosi·S. Frabboni·P. Tiemeijer·R. E. Dunin-Borkowski·V. Grillo

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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 experimentally. 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.

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E. Rotunno, A. H. Tavabi, P. Rosi, S. Frabboni, P. Tiemeijer, R. E. Dunin-Borkowski, V. Grillo. 2021-01-12. Alignment of electron optical beam shaping elements using a convolutional neural network. https://arxiv.org/abs/2101.04358

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