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Subgradient-projection-based stable phase-retrieval algorithm for X-ray ptychography
Natsuki Akaishi1, Koki Yamada1, Kohei Yatabe1
1Department of Electrical Engineering and Computer Science Tokyo University of Agriculture and Technology 2-24-16 Naka-cho, Koganei Tokyo Japan.
Journal of Applied Crystallography
|August 7, 2024
Summary
This study introduces CRISP, an improved X-ray ptychography algorithm for nano-structure imaging. CRISP enhances phase retrieval (PR) performance, offering better visualization of thick specimens than existing methods.
Area of Science:
- X-ray imaging
- Materials science
- Optics
Background:
- X-ray ptychography is a lensless imaging technique for nano-structure visualization.
- It reconstructs a specimen's refractive index via phase retrieval (PR) from diffraction patterns.
- Improving PR algorithms is crucial for enhanced imaging capabilities.
Purpose of the Study:
- To propose an improved iterative algorithm for X-ray ptychography phase retrieval.
- To enhance the reconstruction performance and image quality in X-ray ptychography.
Main Methods:
- Development of the CRISP (Coherent Ptychographic Iterative Reconstruction) algorithm.
- CRISP utilizes subgradient projection for adaptive step size.
- Comparison with existing algorithms like ePIE and rPIE.
Main Results:
- The proposed CRISP algorithm demonstrated improved reconstruction performance.
- Validation was confirmed using both simulated and real experimental data.
- CRISP showed potential to avoid poor image reconstruction.
Conclusions:
- CRISP offers a superior approach to phase retrieval in X-ray ptychography.
- The algorithm enhances the visualization of nano-structures in thick specimens.
- This advancement contributes to improved lensless imaging techniques.
