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Title: Parallel ptychographic reconstruction

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 time there is also a need to deliver reconstructed images immediately so that one can evaluate the next steps to take in an experiment. Here we present a parallel method for real-time ptychographic phase retrieval. It uses a hybrid parallel strategy to divide the computation between multiple graphics processing units (GPUs) and then employs novel techniques to merge sub-datasets into a single complex phase and amplitude image. Results are shown on a simulated specimen and a real dataset from an X-ray experiment conducted at a synchrotron light source.
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [1] ;  [5]
  1. Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Div.
  2. Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source
  3. Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Div.
  4. Northwestern Univ., Evanston, IL (United States). Applied Physics.
  5. Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source; Northwestern Univ., Evanston, IL (United States). Applied Physics
Publication Date:
Grant/Contract Number:
AC02-06CH11357; FC02-06ER25777
Type:
Published Article
Journal Name:
Optics Express
Additional Journal Information:
Journal Volume: 22; Journal Issue: 26; Journal ID: ISSN 1094-4087
Publisher:
Optical Society of America (OSA)
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1222306
Alternate Identifier(s):
OSTI ID: 1201761