scholarly journals Influence of Imaging Parameters and Specimen Thinning on Strain Measurements in Au/Ni MBE Multilayers by HREM Image Processing

1997 ◽  
Vol 8 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Pascale Bayle-Guillemaud ◽  
Jany Thibault
1993 ◽  
Vol 319 ◽  
Author(s):  
Pascale Bayle ◽  
T. Deutsch ◽  
B. Gilles ◽  
F. LancÇn ◽  
A. Marty ◽  
...  

AbstractThe structural evolution of Au/Ni multilayers (with an increasing number of Ni monolayers (MLs)) has been investigated by HREM. As soon as the thickness of Ni becomes larger than 5 MLs, a structural change occurs which in fact has been predicted by numerical simulations. The deformation in the multilayer has been characterised by HREM image processing and has been related to the Ni profile. This profile has been compared to the chemical profile obtained by scanning PEELS analysis through the multilayer.


Author(s):  
D.E. Luzzi ◽  
L.D. Marks

The study of localized phenomena, defect structures, relaxations, surface impurities, etc., all require the ability to resolve small deviations from equilibrium (average) positions of the atoms. Thus, a useful HREM image must have the property of being a one-to-one mapping of the atomic columns in the image to those in the specimen. This localisation of the image depends on the imaging parameters of the microscope and on the spatial frequency of the information. Therefore, each microscope should be calibrated for the imaging conditions under which the maximum localisation of the information of any given spatial frequency is obtained. We have done this for the Hitachi H-9000 HREM which is operated typically at 300 kV, with a Cs of 0.9 and a focal spread of approximately 80 A (fwhm).


1980 ◽  
Vol 19 (13) ◽  
pp. 2191 ◽  
Author(s):  
B. Ineichen ◽  
P. Eglin ◽  
R. Dändliker

Author(s):  
W. Jiang ◽  
S. Chen ◽  
X. Wang ◽  
Q. Huang ◽  
H. Shi ◽  
...  

This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment. The physical simulation models sampled imaging system in laboratory, the imaging system parameters are tested, the digital image serving as image processing input are produced by this imaging system with the same imaging system parameters. The gathered optical sampled images with the tested imaging parameters are processed by 3 digital image processes, including calibration pre-processing, lossy compression with different compression ratio and image post-processing with different core. Image quality assessment method used is just noticeable difference (JND) subject assessment based on ISO20462, through subject assessment of the gathered and processing images, the influence of different imaging parameters and post-processing to image quality can be found. The six JND subject assessment experimental data can be validated each other. Main conclusions include: image post-processing can improve image quality; image post-processing can improve image quality even with lossy compression, image quality with higher compression ratio improves less than lower ratio; with our image post-processing method, image quality is better, when camera MTF being within a small range.


1995 ◽  
Vol 150 (1) ◽  
pp. 77-87 ◽  
Author(s):  
G. Möbus ◽  
E. Schumann ◽  
G. Dehm ◽  
M. Rühle

2003 ◽  
Vol 94 (4) ◽  
pp. 358-367 ◽  
Author(s):  
G. Möbus ◽  
A. Levay ◽  
B. J. Inkson ◽  
M. J. Hÿtch ◽  
A. Trampert ◽  
...  
Keyword(s):  

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