S
Stefano Marchesini
Researcher at Lawrence Berkeley National Laboratory
Publications - 172
Citations - 12678
Stefano Marchesini is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Diffraction & Ptychography. The author has an hindex of 49, co-authored 167 publications receiving 11520 citations. Previous affiliations of Stefano Marchesini include University of California, Berkeley & French Alternative Energies and Atomic Energy Commission.
Papers
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Journal ArticleDOI
One-dimensional phase retrieval: regularization, box relaxation and uniqueness
TL;DR: Wong et al. as mentioned in this paper showed that a box relaxation is equivalent to the binary constraint for Fourier-types of phase retrieval, and further proved that binary signals can be recovered uniquely up to trivial ambiguities under certain conditions.
Coded Aperture Imaging for Fluorescent X-rays-Biomedical Applications
TL;DR: In this paper, a self-supported coded aperture pattern of the Non Two Holes Touching (NTHT) pattern was developed and the algorithms to reconstruct the x-ray image from the encoded pattern recorded were developed by means of modeling and confirmed by experiments.
ReportDOI
FY05 LDRD Final Report, A Revolution in Biological Imaging
Henry N. Chapman,Saša Bajt,R Balhorn,Anton Barty,D Barsky,Michael J. Bogan,S Chung,M. Frank,Stefan P. Hau-Riege,H. Ishii,Richard A. London,Stefano Marchesini,Aleksandr Noy,B Segelke,Abraham Szöke,H. Szoke,J Trebes,A Wootton,Janos Hajdu,M. Bergh,Carl Caleman,G. Huldt,S Lejon,D der Spoel,M. R. Howells,H. He,J. C. H. Spence,K Nugent,E. Ingerman +28 more
TL;DR: In this paper, a combination of computational modeling and experimental verification where possible, they showed that it should indeed be possible to record coherent scattering patterns from single molecules with pulses that are shorter than the timescales for the degradation of the structure due to the interaction with those pulses.
Journal ArticleDOI
Partially Coherent Ptychography by Gradient Decomposition of the Probe
TL;DR: The Gradient Decomposition of the Probe (GDP) as discussed by the authors model exploits translational kernel separability, coupling the variances of the kernel with the transverse coherence.
Journal ArticleDOI
Iterative X-ray Spectroscopic Ptychography
TL;DR: Wang et al. as mentioned in this paper designed a nonlinear spectro-ptychography model based on Poisson maximum likelihood, and constructed then the proposed method based on fast iterative splitting operators.