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	Author	Fatermans, J.; de Backer, A.; den Dekker, A.J.; Van Aert, S.
	Title	Atom column detection			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	177-214
	Keywords	H2 Book chapter; Electron microscopy for materials research (EMAT); Vision lab
	Abstract	By combining statistical parameter estimation and model-order selection using a Bayesian framework, the maximum a posteriori (MAP) probability rule is proposed in this chapter as an objective and quantitative method to detect atom columns from high-resolution scanning transmission electron microscopy (HRSTEM) images. The validity and usefulness of this approach is demonstrated to both simulated and experimental annular dark-field (ADF) STEM images, but also to simultaneously acquired annular bright-field (ABF) and ADF STEM image data.
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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:177531			Serial	6775
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