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Cited by 573

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Invited Article: A unified evaluation of iterative projection algorithms for phase retrieval

Marchesini, S.·2007·Review of Scientific Instruments

Abstract

Iterative projection algorithms are successfully being used as a substitute of lenses to recombine, numerically rather than optically, light scattered by illuminated objects. Images obtained computationally allow aberration-free diffraction-limited imaging and the possibility of using radiation for which no lenses exist. The challenge of this imaging technique is transferred from the lenses to the algorithms. We evaluate these new computational “instruments” developed for the phase-retrieval problem, and discuss acceleration strategies.

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Metadata

Authors
Marchesini, S.
Venue
Review of Scientific Instruments
Published
2007-01-01
Volume
78
Issue
1
Pages
011301-011301
ISSN
  • 0034-6748 (ISSN-L)
  • 1089-7623
OpenAlex
W2953002888
Cited by
573
References
30
FWCI
16.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Invited Article: A unified evaluation of iterative projection algorithms for phase retrieval. https://app.cochat.ai/papers/10.1063/1.2403783
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Marchesini, S. (2007). Invited Article: A unified evaluation of iterative projection algorithms for phase retrieval. Review of Scientific Instruments. https://doi.org/10.1063/1.2403783

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.