Correction of AFM data artifacts using a convolutional neural network trained with synthetically generated data.

Kocur, Viktor; Hegrová, Veronika; Patocka, Marek; Neuman, Jan; Herout, Adam

Kocur, Viktor; Hegrová, Veronika; Patocka, Marek; Neuman, Jan; Herout, Adam.

Afiliación

Kocur V; Graph@FIT, Brno University of Technology, Bozetechova 2, Brno, 61200, Czech Republic; Faculty of Mathematics, Physics and Informatics, Comenius University, Mlynska Dolina, Bratislava, 84248, Slovakia. Electronic address: viktor.kocur@fmph.uniba.sk.
Hegrová V; NenoVision, Purkynova 649/127, Brno, 61200, Czech Republic.
Patocka M; NenoVision, Purkynova 649/127, Brno, 61200, Czech Republic; Faculty of Mechanical Engineering, Brno University of Technology, Technicka 2896/2, Brno, 61669, Czech Republic.
Neuman J; NenoVision, Purkynova 649/127, Brno, 61200, Czech Republic.
Herout A; Graph@FIT, Brno University of Technology, Bozetechova 2, Brno, 61200, Czech Republic.

Ultramicroscopy ; 246: 113666, 2023 Apr.

Article en En | MEDLINE | ID: mdl-36599269

Palabras clave

Atomic force microscopy; Automatic image correction; Machine learning for atomic force microscopy; Reconstruction by CNN; Synthetic training data generation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ultramicroscopy Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos

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