2015
DOI: 10.1117/12.2188313
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Ptychographic nanotomography at the Swiss Light Source

Abstract: Ptychography combines elements of scanning probe microscopy with coherent diffractive imaging and provides a robust high-resolution imaging technique. The extension of X-ray ptychography to 3D provides nanoscale maps with quantitative contrast of the sample complex-valued refractive index. We present here progress in reconstruction and post-processing algorithms for ptychographic nanotomography, as well as outline advances in the implementation and development of dedicated instrumentation for fast and precise … Show more

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Cited by 2 publications
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“…At first limited to returning two-dimensional (2D) projections of the imaged areas, X-ray ptychography was soon demonstrated to be compatible with computed tomography (CT) and hence able to provide three-dimensional (3D) quantitative characterisation of scattering specimens. The first implementation of ptychographic X-ray computed tomography (PXCT) occurred at the cSAXS beamline at the Swiss Light Source [16], which kept leading the development of such kind of ptychography experiments [17][18][19][20][21]. However, PXCT remains more technically challenging than other 2D ptychography experiments on account of both experimental constraints and the relatively higher complexity of the data analysis pipeline.…”
Section: Introductionmentioning
confidence: 99%
“…At first limited to returning two-dimensional (2D) projections of the imaged areas, X-ray ptychography was soon demonstrated to be compatible with computed tomography (CT) and hence able to provide three-dimensional (3D) quantitative characterisation of scattering specimens. The first implementation of ptychographic X-ray computed tomography (PXCT) occurred at the cSAXS beamline at the Swiss Light Source [16], which kept leading the development of such kind of ptychography experiments [17][18][19][20][21]. However, PXCT remains more technically challenging than other 2D ptychography experiments on account of both experimental constraints and the relatively higher complexity of the data analysis pipeline.…”
Section: Introductionmentioning
confidence: 99%