1. Correcting sample drift using Fourier harmonics
- Author
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Bernardo Nuñez-Moraleda, M. P. Guerrero-Lebrero, David González, Elisa Guerrero, Guillermo Bárcena-González, Pedro L. Galindo, D.F. Reyes, V. Braza, and A. Yáñez
- Subjects
010302 applied physics ,Physics ,Series (mathematics) ,business.industry ,General Physics and Astronomy ,02 engineering and technology ,Cell Biology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Sample (graphics) ,Measure (mathematics) ,Characterization (materials science) ,Harmonic analysis ,symbols.namesake ,Optics ,Fourier transform ,Structural Biology ,Fourier analysis ,Harmonics ,0103 physical sciences ,symbols ,General Materials Science ,0210 nano-technology ,business - 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°.
- Published
- 2018
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