Abstract

In the single-plane phase retrieval method, the use of a fixed object support is not efficient and could lead to inaccurate reconstructions. While there have been adaptive support strategies for the single-plane method, numerical processing is slow because such strategies are based in the space domain. Here, an adaptive support strategy based in the Fourier domain in conjunction with the multiple-plane phase retrieval method is presented and demonstrated through simulations and experiments. Optimizations of Fourier filter size and mask threshold parameters result in ${3} \times $ faster convergence compared to the conventional multiple-plane method for the test object waves used. The proposed strategy offers fast, automated determination of the object support and affords the use of fewer intensity patterns.

© 2019 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Single-plane multiple speckle pattern phase retrieval using a deformable mirror

Percival F. Almoro, Jesper Glückstad, and Steen G. Hanson
Opt. Express 18(18) 19304-19313 (2010)

Enhanced intensity variation for multiple-plane phase retrieval using a spatial light modulator as a convenient tunable diffuser

Percival F. Almoro, Quang Duc Pham, David Ignacio Serrano-Garcia, Satoshi Hasegawa, Yoshio Hayasaki, Mitsuo Takeda, and Toyohiko Yatagai
Opt. Lett. 41(10) 2161-2164 (2016)

Iterative phase retrieval without support

J. S. Wu, U. Weierstall, J. C. H. Spence, and C. T. Koch
Opt. Lett. 29(23) 2737-2739 (2004)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Supplementary Material (4)

NameDescription
» Visualization 1       Evolution of the phase reconstructions using the two algorithms and the generated adaptive supports for increasing number of iterations.
» Visualization 2       Evolution of the phase reconstructions from experiments using the two algorithms and the generated adaptive supports for increasing number of iterations.
» Visualization 3       Highlights the importance of the filter radius optimization on the generation of the object support and, subsequently, on the quality of the reconstructed phase map.
» Visualization 4       Highlights the importance of the optimization of the threshold constant on the generation of the adaptive support and reconstruction.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (2)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription