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Correcting sample drift using Fourier harmonics

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URI: http://hdl.handle.net/10498/31815

DOI: https://doi.org/10.1016/j.micron.2018.04.004

ISSN: 0968-4328

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Correcting sample drift using Fourier harmonicsREvision_MICRON.pdf (1.037Mb)
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Author/s
Barcena González, GuillermoAuthority UCA; Guerrero Lebrero, María de la PazAuthority UCA; Guerrero Vázquez, ElisaAuthority UCA; Reyes, David F.; Braza, V.; Yañez Escolano, AndrésAuthority UCA; Núñez Moraleda, Bernardo MiguelAuthority UCA; González, David; Galindo Riaño, Pedro LuisAuthority UCA
Date
2018-04-21
Advisor
Barcena González, GuillermoAuthority UCA
Department
Ingeniería Informática
Abstract
During image acquisition of crystalline materials by high-resolution scanning transmission electron microscopy, the sample drift could lead to distortions and shears that hinder their quantitative analysis and characterization. In order to measure and correct this effect, several authors have proposed different methodologies making use of series of images. In this work, we introduce a methodology to determine the drift angle via Fourier analysis by using a single image based on the measurements between the angles of the second Fourier harmonics in different quadrants. Two different approaches, that are independent of the angle of acquisition of the image, are evaluated. In addition, our results demonstrate that the determination of the drift angle is more accurate by using the measurements of non-consecutive quadrants when the angle of acquisition is an odd multiple of 45°.
Subjects
Drift correction; Image distortion; Fourier analysis; Harmonic analysis
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  • Artículos Científicos [11973]
  • Articulos Científicos Ing. Inf. [313]
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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