Differential programming enabled functional imaging with Lorentz transmission electron microscopy

Abstract Lorentz transmission electron microscopy is an advanced characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materials. Information such as magnetization and electric potentials is carried by the phase of the electron wave,...

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Autores principales:	Tao Zhou, Mathew Cherukara, Charudatta Phatak
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/d31246f8c8ee4b219298bcb5ad50529d
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spelling	oai:doaj.org-article:d31246f8c8ee4b219298bcb5ad50529d2021-12-02T17:19:13ZDifferential programming enabled functional imaging with Lorentz transmission electron microscopy10.1038/s41524-021-00600-x2057-3960https://doaj.org/article/d31246f8c8ee4b219298bcb5ad50529d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41524-021-00600-xhttps://doaj.org/toc/2057-3960Abstract Lorentz transmission electron microscopy is an advanced characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materials. Information such as magnetization and electric potentials is carried by the phase of the electron wave, and is lost during image acquisition. Various methods have been proposed to retrieve the phase of the electron wavefunction using intensities of the acquired images, most of which work only in the small defocus limit. Imaging at strong defoci not only carries more quantitative phase information, but is essential to the study of weak magnetic and electrostatic fields at the nanoscale. In this work we develop a method based on differentiable programming to solve the inverse problem of phase retrieval. We show that our method maintains a high spatial resolution and robustness against noise even at the upper defocus limit of the microscope. More importantly, our proposed method can go beyond recovering just the phase information. We demonstrate this by retrieving the electron-optical parameters of the contrast transfer function alongside the electron exit wavefunction.Tao ZhouMathew CherukaraCharudatta PhatakNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 7, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765
spellingShingle	Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765 Tao Zhou Mathew Cherukara Charudatta Phatak Differential programming enabled functional imaging with Lorentz transmission electron microscopy
description	Abstract Lorentz transmission electron microscopy is an advanced characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materials. Information such as magnetization and electric potentials is carried by the phase of the electron wave, and is lost during image acquisition. Various methods have been proposed to retrieve the phase of the electron wavefunction using intensities of the acquired images, most of which work only in the small defocus limit. Imaging at strong defoci not only carries more quantitative phase information, but is essential to the study of weak magnetic and electrostatic fields at the nanoscale. In this work we develop a method based on differentiable programming to solve the inverse problem of phase retrieval. We show that our method maintains a high spatial resolution and robustness against noise even at the upper defocus limit of the microscope. More importantly, our proposed method can go beyond recovering just the phase information. We demonstrate this by retrieving the electron-optical parameters of the contrast transfer function alongside the electron exit wavefunction.
format	article
author	Tao Zhou Mathew Cherukara Charudatta Phatak
author_facet	Tao Zhou Mathew Cherukara Charudatta Phatak
author_sort	Tao Zhou
title	Differential programming enabled functional imaging with Lorentz transmission electron microscopy
title_short	Differential programming enabled functional imaging with Lorentz transmission electron microscopy
title_full	Differential programming enabled functional imaging with Lorentz transmission electron microscopy
title_fullStr	Differential programming enabled functional imaging with Lorentz transmission electron microscopy
title_full_unstemmed	Differential programming enabled functional imaging with Lorentz transmission electron microscopy
title_sort	differential programming enabled functional imaging with lorentz transmission electron microscopy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d31246f8c8ee4b219298bcb5ad50529d
work_keys_str_mv	AT taozhou differentialprogrammingenabledfunctionalimagingwithlorentztransmissionelectronmicroscopy AT mathewcherukara differentialprogrammingenabledfunctionalimagingwithlorentztransmissionelectronmicroscopy AT charudattaphatak differentialprogrammingenabledfunctionalimagingwithlorentztransmissionelectronmicroscopy
_version_	1718381112508547072

Differential programming enabled functional imaging with Lorentz transmission electron microscopy

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