BROWSE

Related Researcher

Author's Photo

Lee, Zonghoon
Atomic-Scale Electron Microscopy (ASEM) Lab
Research Interests
  • Advanced Transmission Electron Microscopy (TEM/STEM), in Situ TEM, graphene, 2D materials, low-dimensional crystals, nanostructured materials

ITEM VIEW & DOWNLOAD

Contrast Transfer Function-Based Exit-Wave Reconstruction and Denoising of Atomic-Resolution Transmission Electron Microscopy Images of Graphene and Cu Single Atom Substitutions by Deep Learning Framework

DC Field Value Language
dc.contributor.author Lee, Jongyeong ko
dc.contributor.author Lee, Yeongdong ko
dc.contributor.author Kim, Jaemin ko
dc.contributor.author Lee, Zonghoon ko
dc.date.available 2020-11-19T08:45:12Z -
dc.date.created 2020-11-12 ko
dc.date.issued 2020-10 ko
dc.identifier.citation NANOMATERIALS, v.10, no.10 ko
dc.identifier.issn 2079-4991 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/48776 -
dc.description.abstract The exit wave is the state of a uniform plane incident electron wave exiting immediately after passing through a specimen and before the atomic-resolution transmission electron microscopy (ARTEM) image is modified by the aberration of the optical system and the incoherence effect of the electron. Although exit-wave reconstruction has been developed to prevent the misinterpretation of ARTEM images, there have been limitations in the use of conventional exit-wave reconstruction in ARTEM studies of the structure and dynamics of two-dimensional materials. In this study, we propose a framework that consists of the convolutional dual-decoder autoencoder to reconstruct the exit wave and denoise ARTEM images. We calculated the contrast transfer function (CTF) for real ARTEM and assigned the output of each decoder to the CTF as the amplitude and phase of the exit wave. We present exit-wave reconstruction experiments with ARTEM images of monolayer graphene and compare the findings with those of a simulated exit wave. Cu single atom substitution in monolayer graphene was, for the first time, directly identified through exit-wave reconstruction experiments. Our exit-wave reconstruction experiments show that the performance of the denoising task is improved when compared to the Wiener filter in terms of the signal-to-noise ratio, peak signal-to-noise ratio, and structural similarity index map metrics. ko
dc.language 영어 ko
dc.publisher MDPI ko
dc.title Contrast Transfer Function-Based Exit-Wave Reconstruction and Denoising of Atomic-Resolution Transmission Electron Microscopy Images of Graphene and Cu Single Atom Substitutions by Deep Learning Framework ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85092222725 ko
dc.identifier.wosid 000582873600001 ko
dc.type.rims ART ko
dc.identifier.doi 10.3390/nano10101977 ko
dc.identifier.url https://www.mdpi.com/2079-4991/10/10/1977 ko
Appears in Collections:
MSE_Journal Papers

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show simple item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU