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Author de Backer, A.; Fatermans, J.; den Dekker, A.J.; Van Aert, S.
Title Statistical parameter estimation theory : principles and simulation studies Type H2 Book chapter
Year (down) 2021 Publication Advances in imaging and electron physics T2 – Advances in imaging and electron physics Abbreviated Journal
Volume Issue Pages 29-72
Keywords H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
Abstract In this chapter, the principles of statistical parameter estimation theory for a quantitative analysis of atomic-resolution electron microscopy images are introduced. Within this framework, electron microscopy images are described by a parametric statistical model. Here, parametric models are introduced for different types of electron microscopy images: reconstructed exit waves, annular dark-field (ADF) scanning transmission electron microscopy (STEM) images, and simultaneously acquired ADF and annular bright-field (ABF) STEM images. Furthermore, the Cramér-Rao lower bound (CRLB) is introduced, i.e. a theoretical lower bound on the variance of any unbiased estimator. This CRLB is used to quantify the precision of the structure parameters of interest, such as the atomic column positions and the integrated atomic column intensities.
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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:177527 Serial 6788
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