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@ARTICLE{Rosi:909956,
      author       = {Rosi, Paolo and Clausen, Alexander and Weber, Dieter and
                      Tavabi, Amir H. and Frabboni, Stefano and Tiemeijer, Peter
                      and Dunin-Borkowski, Rafal E. and Rotunno, Enzo and Grillo,
                      Vincenzo},
      title        = {{A}utomatic {A}lignment of an {O}rbital {A}ngular
                      {M}omentum {S}orter in a {T}ransmission {E}lectron
                      {M}icroscope {U}sing a {C}onvolutional {N}eural {N}etwork},
      journal      = {Microscopy and microanalysis},
      volume       = {29},
      number       = {1},
      issn         = {1431-9276},
      address      = {New York, NY},
      publisher    = {Cambridge University Press},
      reportid     = {FZJ-2022-03546},
      pages        = {408–417},
      year         = {2023},
      abstract     = {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.},
      cin          = {ER-C-1},
      ddc          = {500},
      cid          = {I:(DE-Juel1)ER-C-1-20170209},
      pnm          = {5351 - Platform for Correlative, In Situ and Operando
                      Characterization (POF4-535) / Q-SORT - QUANTUM SORTER
                      (766970) / 3D MAGiC - Three-dimensional magnetization
                      textures: Discovery and control on the nanoscale (856538) /
                      ESTEEM3 - Enabling Science and Technology through European
                      Electron Microscopy (823717) / DFG project 405553726 - TRR
                      270: Hysterese-Design magnetischer Materialien für
                      effiziente Energieumwandlung (405553726) / DARPA, Phase 2 -
                      Defense Advanced Research Projects Agency Manipulation of
                      magnetic skyrmions for logicin- memory applications
                      (Z1422.01.18)},
      pid          = {G:(DE-HGF)POF4-5351 / G:(EU-Grant)766970 /
                      G:(EU-Grant)856538 / G:(EU-Grant)823717 /
                      G:(GEPRIS)405553726 / G:(DE-Juel-1)Z1422.01.18},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36082682},
      UT           = {WOS:000852052200001},
      doi          = {10.1017/S143192762201248X},
      url          = {https://juser.fz-juelich.de/record/909956},
}