Ptychography: Software: SHARP-CAMERA. SHARP: a distributed GPU-based ptychographic solver. Ever brighter light sources, fast parallel detectors and advances in phase retrieval methods have made ptychography a practical and popular imaging technique. Compared to previous techniques, ptychography provides superior robustness and resolution at the expense of more advanced and time-consuming data analysis. By taking advantage of massively parallel architectures, high-throughput processing can expedite this analysis and provide microscopists with immediate feedback. These advances allow real-time imaging at wavelength-limited resolution, coupled with a large field of view. This article describes a set of algorithmic and computational methodologies used at the Advanced Light Source and US Department of Energy light sources. These are packaged as a CUDA-based software environment named SHARP (http://camera.lbl.gov/sharp), aimed at providing state-of-the-art high-throughput ptychography reconstructions for the coming era of diffraction-limited light sources.
Keywords for this software
References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
- Fannjiang, Albert; Zhang, Zheqing: Fixed point analysis of Douglas-Rachford splitting for ptychography and phase retrieval (2020)
- Chang, Huibin; Enfedaque, Pablo; Marchesini, Stefano: Blind ptychographic phase retrieval via convergent alternating direction method of multipliers (2019)
- Fannjiang, Albert: Raster grid pathology and the cure (2019)
- Slagel, J. Tanner; Chung, Julianne; Chung, Matthias; Kozak, David; Tenorio, Luis: Sampled Tikhonov regularization for large linear inverse problems (2019)
- Stefano Marchesini, Hari Krishnan, Benedikt J. Daurer, David A. Shapiro, Talita Perciano, James A. Sethian, Filipe R.N.C. Maia: SHARP: a distributed, GPU-based ptychographic solver (2016) arXiv