Phase retrieval by coherent modulation imaging

Zhang, Fucai; Chen, Bo; Morrison, Graeme R.; Vila-Comamala, Joan; Guizar-Sicairos, Manuel; Robinson, Ian K.

doi:10.1038/ncomms13367

Title: Phase retrieval by coherent modulation imaging

Journal Article · Fri Nov 18 00:00:00 EST 2016 · Nature Communications

DOI:https://doi.org/10.1038/ncomms13367· OSTI ID:1342637

Zhang, Fucai ^[1]; Chen, Bo ^[2]; Morrison, Graeme R. ^[3]; Vila-Comamala, Joan ^[4]; Guizar-Sicairos, Manuel ^[4]; Robinson, Ian K. ^[5]

Univ. College London, London (United Kingdom). London Centre for Nanotechnology; Research Complex at Harwell, Harwell Campus, Didcot (United Kingdom); Southern Univ. of Science and Technology, Shenzhen (China)
Univ. College London, London (United Kingdom). London Centre for Nanotechnology; Research Complex at Harwell, Harwell Campus, Didcot (United Kingdom); Tongji Univ., Shanghai (China)
Univ. College London, London (United Kingdom). London Centre for Nanotechnology; Research Complex at Harwell, Harwell Campus, Didcot (United Kingdom)
Paul Scherrer Inst. (PSI), Villigen (Switzerland). Swiss Light Source
Univ. College London, London (United Kingdom). London Centre for Nanotechnology; Research Complex at Harwell, Harwell Campus, Didcot (United Kingdom); Brookhaven National Lab. (BNL), Upton, NY (United States). Condensed Matter Physics and Materials Science Dept.

Phase retrieval is a long-standing problem in imaging when only the intensity of the wavefield can be recorded. Coherent diffraction imaging (CDI) is a lensless technique that uses iterative algorithms to recover amplitude and phase contrast images from diffraction intensity data. For general samples, phase retrieval from a single diffraction pattern has been an algorithmic and experimental challenge. Here we report a method of phase retrieval that uses a known modulation of the sample exit-wave. This coherent modulation imaging (CMI) method removes inherent ambiguities of CDI and uses a reliable, rapidly converging iterative algorithm involving three planes. It works for extended samples, does not require tight support for convergence, and relaxes dynamic range requirements on the detector. CMI provides a robust method for imaging in materials and biological science, while its single-shot capability will benefit the investigation of dynamical processes with pulsed sources, such as X-ray free electron laser.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0012704

OSTI ID:: 1342637

Report Number(s):: BNL-113431-2017-JA; R&D Project: PO011; KC0201060

Journal Information:: Nature Communications, Vol. 7; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 92 works

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