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Holographic imaging with a hard x-ray nanoprobe : Ptychographic versus conventional phase retrieval

Robisch, A. L.; Wallentin, J. LU ; Pacureanu, A.; Cloetens, P. and Salditt, T. (2016) In Optics Letters 41(23). p.5519-5522
Abstract

We have performed near-field x-ray imaging with simultaneous object and probe reconstruction. By an advanced ptychographic algorithm based on longitudinal and lateral translations, full-field images of nanoscale objects are reconstructed with quantitative contrast values, along with the extended wavefronts used to illuminate the objects. The imaging scheme makes idealizing assumptions on the probe obsolete, and efficiently disentangles phase shifts related to the object from the imperfections in the illumination. We validate this approach by comparison to the conventional reconstruction scheme without simultaneous probe retrieval, based on the contrast transfer function algorithm. To this end, a set of semiconductor nanowires with... (More)

We have performed near-field x-ray imaging with simultaneous object and probe reconstruction. By an advanced ptychographic algorithm based on longitudinal and lateral translations, full-field images of nanoscale objects are reconstructed with quantitative contrast values, along with the extended wavefronts used to illuminate the objects. The imaging scheme makes idealizing assumptions on the probe obsolete, and efficiently disentangles phase shifts related to the object from the imperfections in the illumination. We validate this approach by comparison to the conventional reconstruction scheme without simultaneous probe retrieval, based on the contrast transfer function algorithm. To this end, a set of semiconductor nanowires with controlled chemical composition (InP core, insulating SiO2 layer, and indium tin oxide cover) is imaged using the quasi-point source illumination realized by the hard x-ray nanofocus (26 nm x 39 nm spot size) of the ID16A Nano-Imaging beamline at the European Synchrotron Radiation Facility.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Optics Letters
volume
41
issue
23
pages
4 pages
publisher
Optical Society of America
external identifiers
  • scopus:85006043767
  • wos:000389654000027
ISSN
0146-9592
DOI
10.1364/OL.41.005519
language
English
LU publication?
yes
id
59c98896-b050-4044-968e-b89275feb09b
date added to LUP
2016-12-30 07:47:21
date last changed
2017-10-01 05:28:23
@article{59c98896-b050-4044-968e-b89275feb09b,
  abstract     = {<p>We have performed near-field x-ray imaging with simultaneous object and probe reconstruction. By an advanced ptychographic algorithm based on longitudinal and lateral translations, full-field images of nanoscale objects are reconstructed with quantitative contrast values, along with the extended wavefronts used to illuminate the objects. The imaging scheme makes idealizing assumptions on the probe obsolete, and efficiently disentangles phase shifts related to the object from the imperfections in the illumination. We validate this approach by comparison to the conventional reconstruction scheme without simultaneous probe retrieval, based on the contrast transfer function algorithm. To this end, a set of semiconductor nanowires with controlled chemical composition (InP core, insulating SiO<sub>2</sub> layer, and indium tin oxide cover) is imaged using the quasi-point source illumination realized by the hard x-ray nanofocus (26 nm x 39 nm spot size) of the ID16A Nano-Imaging beamline at the European Synchrotron Radiation Facility.</p>},
  author       = {Robisch, A. L. and Wallentin, J. and Pacureanu, A. and Cloetens, P. and Salditt, T.},
  issn         = {0146-9592},
  language     = {eng},
  month        = {12},
  number       = {23},
  pages        = {5519--5522},
  publisher    = {Optical Society of America},
  series       = {Optics Letters},
  title        = {Holographic imaging with a hard x-ray nanoprobe : Ptychographic versus conventional phase retrieval},
  url          = {http://dx.doi.org/10.1364/OL.41.005519},
  volume       = {41},
  year         = {2016},
}