Abstract

Scanning transmission electron microscopy (STEM) has emerged as one of the foremost techniques to analyze materials at atomic resolution. However, two practical difficulties inherent to STEM imaging are: radiation damage imparted by the electron beam, which can potentially damage or otherwise modify the specimen and slow-scan image acquisition, which limits the ability to capture dynamic changes at high temporal resolution. Furthermore, due in part to scan flyback corrections, typical raster scan methods result in an uneven distribution of dose across the scanned area. A method to allow extremely fast scanning with a uniform residence time would enable imaging at low electron doses, ameliorating radiation damage and at the same time permitting image acquisition at higher frame-rates while maintaining atomic resolution. The practical complication is that rastering the STEM probe at higher speeds causes significant image distortions. Non-square scan patterns provide a solution to this dilemma and can be tailored for low dose imaging conditions. Here, we develop a method for imaging with alternative scan patterns and investigate their performance at very high scan speeds. A general analysis for spiral scanning is presented here for the following spiral scan functions: Archimedean, Fermat, and constant linear velocity spirals, which were tested for STEM imaging. The quality of spiral scan STEM images is generally comparable with STEM images from conventional raster scans, and the dose uniformity can be improved.

Details

Title
Dynamic scan control in STEM: spiral scans
Author
Xiahan Sang 1 ; Lupini, Andrew R 2 ; Unocic, Raymond R 1 ; Miaofang Chi 1 ; Borisevich, Albina Y 2 ; Kalinin, Sergei V 1 ; Endeve, Eirik 3 ; Archibald, Richard K 3 ; Jesse, Stephen 1 

 Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA; Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA 
 Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA; Materials Sciences and Technology, Oak Ridge National Laboratory, Oak Ridge, TN, USA 
 Computer Science and Mathematics, Oak Ridge National Laboratory, Oak Ridge, TN, USA 
Pages
1-8
Publication year
2016
Publication date
Jun 2016
Publisher
Springer Nature B.V.
e-ISSN
21980926
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1987934469
Copyright
Advanced Structural and Chemical Imaging is a copyright of Springer, (2016). All Rights Reserved., © 2016. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.