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Dive into the research topics where David Shapiro is active.

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Featured researches published by David Shapiro.


Journal of The Optical Society of America A-optics Image Science and Vision | 2006

High-resolution ab initio Three-dimensional X-ray Diffraction Microscopy

Henry N. Chapman; Anton Barty; Stefano Marchesini; Aleksandr Noy; Stefan P. Hau-Riege; Congwu Cui; Malcolm R. Howells; Rachel Rosen; Haifeng He; John C. Spence; Uwe Weierstall; Tobias Beetz; Chris Jacobsen; David Shapiro

Coherent x-ray diffraction microscopy is a method of imaging nonperiodic isolated objects at resolutions limited, in principle, by only the wavelength and largest scattering angles recorded. We demonstrate x-ray diffraction imaging with high resolution in all three dimensions, as determined by a quantitative analysis of the reconstructed volume images. These images are retrieved from the three-dimensional diffraction data using no a priori knowledge about the shape or composition of the object, which has never before been demonstrated on a nonperiodic object. We also construct two-dimensional images of thick objects with greatly increased depth of focus (without loss of transverse spatial resolution). These methods can be used to image biological and materials science samples at high resolution with x-ray undulator radiation and establishes the techniques to be used in atomic-resolution ultrafast imaging at x-ray free-electron laser sources.


Proceedings of the National Academy of Sciences of the United States of America | 2005

Biological imaging by soft x-ray diffraction microscopy

David Shapiro; Pierre Thibault; Tobias Beetz; Veit Elser; Malcolm R. Howells; Chris Jacobsen; Janos Kirz; E. Lima; Huijie Miao; Aaron M. Neiman; David Sayre

We have used the method of x-ray diffraction microscopy to image the complex-valued exit wave of an intact and unstained yeast cell. The images of the freeze-dried cell, obtained by using 750-eV x-rays from different angular orientations, portray several of the cells major internal components to 30-nm resolution. The good agreement among the independently recovered structures demonstrates the accuracy of the imaging technique. To obtain the best possible reconstructions, we have implemented procedures for handling noisy and incomplete diffraction data, and we propose a method for determining the reconstructed resolution. This work represents a previously uncharacterized application of x-ray diffraction microscopy to a specimen of this complexity and provides confidence in the feasibility of the ultimate goal of imaging biological specimens at 10-nm resolution in three dimensions.


Acta Crystallographica Section A | 2006

Reconstruction of a yeast cell from X-ray diffraction data

Pierre Thibault; Veit Elser; Chris Jacobsen; David Shapiro; David Sayre

Details are provided of the algorithm used for the reconstruction of yeast cell images in the recent demonstration of diffraction microscopy by Shapiro, Thibault, Beetz, Elser, Howells, Jacobsen, Kirz, Lima, Miao, Nieman & Sayre [Proc. Natl Acad. Sci. USA (2005), 102, 15343-15346]. Two refinements of the iterative constraint-based scheme are developed to address the current experimental realities of this imaging technique, which include missing central data and noise. A constrained power operator is defined whose eigenmodes allow the identification of a small number of degrees of freedom in the reconstruction that are negligibly constrained as a result of the missing data. To achieve reproducibility in the algorithms output, a special intervention is required for these modes. Weak incompatibility of the constraints caused by noise in both direct and Fourier space leads to residual phase fluctuations. This problem is addressed by supplementing the algorithm with an averaging method. The effect of averaging may be interpreted in terms of an effective modulation transfer function, as used in optics, to quantify the resolution. The reconstruction details are prefaced with simulations of wave propagation through a model yeast cell. These show that the yeast cell is a strong-phase-contrast object for the conditions in the experiment.


12th International Conference on Synchrotron Radiation Instrumentation (SRI), JUL 06-10, 2015, New York, NY | 2016

Real-time data-intensive computing

Dilworth Y. Parkinson; Keith Beattie; Xian Chen; Joaquin Correa; Eli Dart; Benedikt J. Daurer; Jack Deslippe; Alexander Hexemer; Harinarayan Krishnan; Alastair A. MacDowell; Filipe R. N. C. Maia; Stefano Marchesini; Howard A. Padmore; Simon J. Patton; Talita Perciano; James A. Sethian; David Shapiro; Rune Stromsness; Nobumichi Tamura; Brian Tierney; Craig E. Tull; Daniela Ushizima

Today users visit synchrotrons as sources of understanding and discovery—not as sources of just light, and not as sources of data. To achieve this, the synchrotron facilities frequently provide not just light but often the entire end station and increasingly, advanced computational facilities that can reduce terabytes of data into a form that can reveal a new key insight. The Advanced Light Source (ALS) has partnered with high performance computing, fast networking, and applied mathematics groups to create a “super-facility”, giving users simultaneous access to the experimental, computational, and algorithmic resources to make this possible. This combination forms an efficient closed loop, where data—despite its high rate and volume—is transferred and processed immediately and automatically on appropriate computing resources, and results are extracted, visualized, and presented to users or to the experimental control system, both to provide immediate insight and to guide decisions about subsequent experim...


international symposium on biomedical imaging | 2002

Soft X-ray microscopy at the NSLS

Tobias Beetz; Michael Feser; Chris Jacobsen; Janos Kirz; David Sayre; David Shapiro; Yefim Sheynkin; Aaron Stein; Sue Wirick

Scanning Transmission X-ray Microscopes are used to image 0.1-10 micron thick specimens at 20-50 nm resolution using zone plate focusing. Many of the applications of these instruments make use of the elemental and chemical sensitivity of XANES spectroscopy combined with microscopy. Recent instrumentation developments are described, including cryoSTXM for frozen hydrated specimens, tomography, configured detector for multiple contrast recording, etc. Diffraction-based imaging is being developed for high resolution 3D microscopy.


Acta Crystallographica Section A | 2002

X-ray spectromicroscopy: high resolution chemical state imaging in complex organic systems

Chris Jacobsen; T. Beetz; M. Feser; H. Fleckenstein; B. Hornberger; J. Kirz; E. Lima; M. Lu; David Shapiro; A. Stein; S. Wirick

With known absorption spectra, maps of component concentrations can be obtained; with unknown spectra, multivariate statistical analysis methods can be used to understand the number and distribution of components and to find common spectra. Applications in biology and geochemistry are described. In addition, the status of experiments in diffraction and holographic imaging of frozen hydrated specimens will be described.


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2005

Apparatus for X-ray diffraction microscopy and tomography of cryo specimens

Tobias Beetz; Malcolm R. Howells; Chris Jacobsen; Chi-Chang Kao; Janos Kirz; E. Lima; T.O. Mentes; Huijie Miao; C. Sanchez-Hanke; David Sayre; David Shapiro


Proceedings of the National Academy of Sciences of the United States of America | 1965

INABILITY OF THYMINE-DEPENDENT MUTANTS OF BACTERIOPHAGE T4 TO INDUCE THYMIDYLATE SYNTHETASE

David Shapiro; Joseph Eigner; G. Robert Greenberg


Journal De Physique Iv | 2003

Development of a novel apparatus for experiments in soft X-ray diffraction imaging and diffraction tomography

Tobias Beetz; Chris Jacobsen; C.-C. Kao; Janos Kirz; O. Mentes; C. Sanchez-Hanke; David Sayre; David Shapiro


Journal De Physique Iv | 2003

Algorithmic image reconstruction using itérative phase retrieval schema

E. Lima; David Shapiro; Janos Kirz; David Sayre

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Chris Jacobsen

Argonne National Laboratory

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David Sayre

Stony Brook University

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Janos Kirz

Lawrence Berkeley National Laboratory

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E. Lima

Stony Brook University

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Malcolm R. Howells

Lawrence Berkeley National Laboratory

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Huijie Miao

Stony Brook University

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Stefano Marchesini

Lawrence Berkeley National Laboratory

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Aaron Stein

Stony Brook University

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C. Sanchez-Hanke

Brookhaven National Laboratory

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