An improved iterative wave function reconstruction algorithm in high-resolution transmission electron microscopy
| Autor: | Ruohan Shen, Jianghua Chen, W.Q. Ming, Z.K. Chen, Yibin He |
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| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Image Series business.industry Computer science Resolution (electron density) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Reconstruction algorithm Image processing 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Data set Software Transmission (telecommunications) 0103 physical sciences Central processing unit 0210 nano-technology business Instrumentation Algorithm |
| Zdroj: | Ultramicroscopy. 195 |
| ISSN: | 1879-2723 |
| Popis: | Exit wavefunction reconstruction is a powerful image processing technique to enhance the resolution and the signal-to-noise ratio for atomic-resolution imaging in both aberration uncorrected and corrected transmission electron microscopes. The present study aims to improve the performance of the iterative wavefunction reconstruction algorithm in comparison not only with its conventional form but also with the popular commercial Trueimage software for exit wavefunction reconstruction. It is shown that by implementing a wave propagation procedure for refining its image alignment, the iterative wavefunction reconstruction algorithm can be greatly improved in accurately retrieving the wavefunctions while keeping its original advantages, which allow the reconstruction be performed with less images and a larger defocus step in the data set of through-focus image series. In addition, calculations of this algorithm can be accelerated drastically by the graphic processing unit (GPU) hardware programming using the popular computer unified device architecture language, whose computing speed can be 25–38 times as fast as a central processing unit (CPU) program. |
| Databáze: | OpenAIRE |
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