scholarly journals Using convex optimization of autocorrelation with constrained support and windowing for improved phase retrieval accuracy

2018 ◽  
Vol 26 (19) ◽  
pp. 24422
Author(s):  
Alberto Pietrini ◽  
Carl Nettelblad
2021 ◽  
Author(s):  
Xu Liu ◽  
Yong Liu ◽  
Dong Li ◽  
yuhang He ◽  
Hongzheng Jiang ◽  
...  

2020 ◽  
Vol 49 (12) ◽  
pp. 83-92
Author(s):  
于婷婷 Ting-ting YU ◽  
冯玉涛 Yu-tao FENG ◽  
傅頔 Di FU ◽  
王轩 Xuan WANG ◽  
孙晨 Chen SUN ◽  
...  

2021 ◽  
pp. 103116
Author(s):  
Di Zhang ◽  
Fengrui Zhang ◽  
Yimao Sun ◽  
Qun Wan

2020 ◽  
Vol 49 (12) ◽  
pp. 83-92
Author(s):  
于婷婷 Ting-ting YU ◽  
冯玉涛 Yu-tao FENG ◽  
傅頔 Di FU ◽  
王轩 Xuan WANG ◽  
孙晨 Chen SUN ◽  
...  

Author(s):  
W. Coene ◽  
A. Thust ◽  
M. Op de Beeck ◽  
D. Van Dyck

Compared to conventional electron sources, the use of a highly coherent field-emission gun (FEG) in TEM improves the information resolution considerably. A direct interpretation of this extra information, however, is hampered since amplitude and phase of the electron wave are scrambled in a complicated way upon transfer from the specimen exit plane through the objective lens towards the image plane. In order to make the additional high-resolution information interpretable, a phase retrieval procedure is applied, which yields the aberration-corrected electron wave from a focal series of HRTEM images (Coene et al, 1992).Kirkland (1984) tackled non-linear image reconstruction using a recursive least-squares formalism in which the electron wave is modified stepwise towards the solution which optimally matches the contrast features in the experimental through-focus series. The original algorithm suffers from two major drawbacks : first, the result depends strongly on the quality of the initial guess of the first step, second, the processing time is impractically high.


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