TY  - JOUR
AU  - Rosi, Paolo
AU  - Clausen, Alexander
AU  - Weber, Dieter
AU  - Tavabi, Amir H.
AU  - Frabboni, Stefano
AU  - Tiemeijer, Peter
AU  - Dunin-Borkowski, Rafal E.
AU  - Rotunno, Enzo
AU  - Grillo, Vincenzo
TI  - Automatic Alignment of an Orbital Angular Momentum Sorter in a Transmission Electron Microscope Using a Convolutional Neural Network
JO  - Microscopy and microanalysis
VL  - 29
IS  - 1
SN  - 1431-9276
CY  - New York, NY
PB  - Cambridge University Press
M1  - FZJ-2022-03546
SP  - 408–417
PY  - 2023
AB  - We report on the automatic alignment of a transmission electron microscope equipped with an orbital angular momentum sorter using a convolutional neural network. The neural network is able to control all relevant parameters of both the electron-optical setup of the microscope and the external voltage source of the sorter without input from the user. It can compensate for mechanical and optical misalignments of the sorter, in order to optimize its spectral resolution. The alignment is completed over a few frames and can be kept stable by making use of the fast fitting time of the neural network.
LB  - PUB:(DE-HGF)16
C6  - 36082682
UR  - <Go to ISI:>//WOS:000852052200001
DO  - DOI:10.1017/S143192762201248X
UR  - https://juser.fz-juelich.de/record/909956
ER  -