期刊
MICROSCOPY AND MICROANALYSIS
卷 21, 期 2, 页码 436-441出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S1431927614014639
关键词
STEM; Fourier transform; data processing; atomic imaging; diffraction; aberration correction
资金
- Cornell Center for Materials Research
- NSF MRSEC program [DMR-1120296]
- Center for Functional Nanomaterials, Brookhaven National Laboratory - U.S. DOE, Office of Basic Energy Sciences [DE-AC02-98CH10886]
- DOE grant [DE-FG02-11ER16210]
The discrete Fourier transform is among the most routine tools used in high-resolution scanning/transmission electron microscopy (S/TEM). However, when calculating a Fourier transform, periodic boundary conditions are imposed and sharp discontinuities between the edges of an image cause a cross patterned artifact along the reciprocal space axes. This artifact can interfere with the analysis of reciprocal lattice peaks of an atomic resolution image. Here we demonstrate that the recently developed Periodic Plus Smooth Decomposition technique provides a simple, efficient method for reliable removal of artifacts caused by edge discontinuities. In this method, edge artifacts are reduced by subtracting a smooth background that solves Poisson's equation with boundary conditions set by the image's edges. Unlike the traditional windowed Fourier transforms, Periodic Plus Smooth Decomposition maintains sharp reciprocal lattice peaks from the image's entire field of view.
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