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Author | de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S. | ||||
Title | Optimal experiment design for nanoparticle atom counting from ADF STEM images | Type | H2 Book chapter | ||
Year | 2021 | Publication | Advances in imaging and electron physics T2 – Advances in imaging and electron physics | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
145-175 | ||
Keywords | H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab | ||||
Abstract | In this chapter, the principles of detection theory are used to quantify the probability of error for atom counting from high-resolution scanning transmission electron microscopy (HRSTEM) images. Binary and multiple hypothesis testing have been investigated in order to determine the limits to the precision with which the number of atoms in a projected atomic column can be estimated. The probability of error has been calculated when using STEM images, scattering cross-sections or peak intensities as a criterion to count atoms. Based on this analysis, we conclude that scattering cross-sections perform almost equally well as images and perform better than peak intensities. Furthermore, the optimal STEM detector design can be derived for atom counting using the expression of the probability of error. We show that for very thin objects the low-angle annular dark-field (LAADF) regime is optimal and that for thicker objects the optimal inner detector angle increases. | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Wos | Publication Date | 2021-03-06 | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | 217 | Series Issue | Edition | ||
ISSN | ISBN | 978-0-12-824607-8; 1076-5670 | Additional Links | UA library record | |
Impact Factor | Times cited | Open Access | Not_Open_Access | ||
Notes | ERC Consolidator project funded by the European Union grant #770887 Picometrics | Approved | Most recent IF: NA | ||
Call Number | UA @ admin @ c:irua:177530 | Serial | 6785 | ||
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