2014
DOI: 10.1364/oe.22.032082
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Parallel ptychographic reconstruction

Abstract: Abstract:Ptychography is an imaging method whereby a coherent beam is scanned across an object, and an image is obtained by iterative phasing of the set of diffraction patterns. It is able to be used to image extended objects at a resolution limited by scattering strength of the object and detector geometry, rather than at an optics-imposed limit. As technical advances allow larger fields to be imaged, computational challenges arise for reconstructing the correspondingly larger data volumes, yet at the same ti… Show more

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Cited by 120 publications
(104 citation statements)
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“…Before computing the FRC, the two phase images were aligned with subpixel precision using an efficient image method based on cross-correlation (66) and then were multiplied by a soft-edged mask (Tukey window) to avoid correlation from the image field boundaries. See Nashed et al (67).…”
Section: Methodsmentioning
confidence: 99%
“…Before computing the FRC, the two phase images were aligned with subpixel precision using an efficient image method based on cross-correlation (66) and then were multiplied by a soft-edged mask (Tukey window) to avoid correlation from the image field boundaries. See Nashed et al (67).…”
Section: Methodsmentioning
confidence: 99%
“…Finally, we note that increased experimental throughput should be coupled with fast computing; one example is to use efficient parallelization schemes for ptychographic image reconstruction (Nashed et al, 2014).…”
Section: à4mentioning
confidence: 99%
“…Data sets can be quite large and timeconsuming to process (ranging up to a Terabyte total for experiments carried out to date), so that unoptimized single-processor Python reconstruction codes could take up to 20 days for reconstruction. More recently, ptychographic reconstruction software has been developed at Argonne that uses graphical processing units (GPUs) to obtain about a hundred-fold speed-up processing data subsets, and a cluster of up to 128 GPU-equipped nodes to provide up to a 18,000-fold speed-up in aggregate reconstruction of a ptychographic image [10]. This allows reconstructed images to be made available to the experimenter within a few minutes, so that one can plan what region to image next (or change samples if the one under study is found to be problematic) while at the beamline.…”
Section: Ptychographymentioning
confidence: 99%
“…Unlike GSAS, which only performs fi tting to data, GSAS-II handles all aspects of diffraction data reduction and analysis and extends to small-angle scatter- : Multimode X-ray microscopy requires combinations of data from multiple sources. We show here a frozen hydrated Ostreococcus alga imaged at 5.2 keV, where X-ray fl uorescence maps of elemental composition (potassium, sulfur, and phosphorous) were recorded simulateously with X-ray ptychography data recorded using a pixelated array detector and reconstructed using a fast, parallelized code [10]. The lower right image shows an overlay with the psychographic reconstruction, which shows the light element ultrastructure not visible in X-ray fl uorescence [13].…”
Section: Gsas-ii: Crystallography and Small-angle Scatteringmentioning
confidence: 99%