Research paperExperimental CharacterizationComputed RamanDeep Learning Coherent Diffractive ImagingDillan J. Chang, Colum M. O'Leary, Cong Su, Salman Kahn et al.2022·arXiv:2204.08157AbstractWe report the development of deep learning coherent electron diffractive imaging at sub-ångström resolution using convolutional neural networks (CNNs) trained with only simulated data. We experimentally demonstrate this method by applying the trained CNNs to directly recover the phase images from electron diffraction patterns of twisted hexagonal boron nitride, monolayer graphene and a Au nanoparticle with comparable quality to those reconstructed by a conventional ptychographic method.Read more
Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.1 characterization2 properties1 figureExperimentalhBNStudied MaterialExpand
Monolayer graphene sample used for ptychographic imaging under varying scan overlap.1 characterization1 figureExperimentalCStudied MaterialExpand
5 nm Au nanoparticle examined by ptychography.1 characterization1 figureExperimentalAuStudied MaterialExpand
Research paperExperimental CharacterizationComputed RamanDeep Learning Coherent Diffractive ImagingDillan J. Chang, Colum M. O'Leary, Cong Su, Salman Kahn et al.2022·arXiv:2204.08157AbstractWe report the development of deep learning coherent electron diffractive imaging at sub-ångström resolution using convolutional neural networks (CNNs) trained with only simulated data. We experimentally demonstrate this method by applying the trained CNNs to directly recover the phase images from electron diffraction patterns of twisted hexagonal boron nitride, monolayer graphene and a Au nanoparticle with comparable quality to those reconstructed by a conventional ptychographic method.Read more
Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.1 characterization2 properties1 figureExperimentalhBNStudied MaterialExpand
Monolayer graphene sample used for ptychographic imaging under varying scan overlap.1 characterization1 figureExperimentalCStudied MaterialExpand
5 nm Au nanoparticle examined by ptychography.1 characterization1 figureExperimentalAuStudied MaterialExpand
Research paperExperimental CharacterizationComputed RamanDeep Learning Coherent Diffractive ImagingDillan J. Chang, Colum M. O'Leary, Cong Su, Salman Kahn et al.2022·arXiv:2204.08157AbstractWe report the development of deep learning coherent electron diffractive imaging at sub-ångström resolution using convolutional neural networks (CNNs) trained with only simulated data. We experimentally demonstrate this method by applying the trained CNNs to directly recover the phase images from electron diffraction patterns of twisted hexagonal boron nitride, monolayer graphene and a Au nanoparticle with comparable quality to those reconstructed by a conventional ptychographic method.Read more
Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.1 characterization2 properties1 figureExperimentalhBNStudied MaterialExpand
Monolayer graphene sample used for ptychographic imaging under varying scan overlap.1 characterization1 figureExperimentalCStudied MaterialExpand
5 nm Au nanoparticle examined by ptychography.1 characterization1 figureExperimentalAuStudied MaterialExpand
Research paperExperimental CharacterizationComputed RamanDeep Learning Coherent Diffractive ImagingDillan J. Chang, Colum M. O'Leary, Cong Su, Salman Kahn et al.2022·arXiv:2204.08157AbstractWe report the development of deep learning coherent electron diffractive imaging at sub-ångström resolution using convolutional neural networks (CNNs) trained with only simulated data. We experimentally demonstrate this method by applying the trained CNNs to directly recover the phase images from electron diffraction patterns of twisted hexagonal boron nitride, monolayer graphene and a Au nanoparticle with comparable quality to those reconstructed by a conventional ptychographic method.Read more
Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.1 characterization2 properties1 figureExperimentalhBNStudied MaterialExpand
Monolayer graphene sample used for ptychographic imaging under varying scan overlap.1 characterization1 figureExperimentalCStudied MaterialExpand
5 nm Au nanoparticle examined by ptychography.1 characterization1 figureExperimentalAuStudied MaterialExpand
