Literature DB >> 20820307

Phase-retrieval algorithms for a complicated optical system.

J R Fienup.   

Abstract

Phase-retrieval algorithms have been developed that handle a complicated optical system that requires multiple Fresnellike transforms to propagate from one end of the system to the other including the absorption by apertures in more than one plane and allowance for bad detector pixels. Gradientsearch algorithms and generalizations of the iterative-transform phase-retrieval algorithms are derived. Analytic expressions for the gradient of an error metric, with respect to polynomial coefficients and with respect to point-by-point phase descriptions, are given. The entire gradient can be computed with the number of transforms required to propagate a wave front from one end of the optical system to the other and back again, independent of the number of coefficients or phase points. This greatly speeds the computation. The reconstruction of pupil amplitude is also given. A convergence proof of the generalized iterative transform algorithm is given. These improved algorithms permit a more accurate characterizationof complicated optical systems from their point spread functions.

Year:  1993        PMID: 20820307     DOI: 10.1364/AO.32.001737

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  5 in total

1.  Characterization of spatially varying aberrations for wide field-of-view microscopy.

Authors:  Guoan Zheng; Xiaoze Ou; Roarke Horstmeyer; Changhuei Yang
Journal:  Opt Express       Date:  2013-07-01       Impact factor: 3.894

2.  Efficient positional misalignment correction method for Fourier ptychographic microscopy.

Authors:  Jiasong Sun; Qian Chen; Yuzhen Zhang; Chao Zuo
Journal:  Biomed Opt Express       Date:  2016-03-17       Impact factor: 3.732

3.  Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy.

Authors:  Sarinporn Visitsattapongse; Kitsada Thadson; Suejit Pechprasarn; Nuntachai Thongpance
Journal:  Sensors (Basel)       Date:  2022-05-06       Impact factor: 3.847

4.  Improved Machine Learning Approach for Wavefront Sensing.

Authors:  Hongyang Guo; Yangjie Xu; Qing Li; Shengping Du; Dong He; Qiang Wang; Yongmei Huang
Journal:  Sensors (Basel)       Date:  2019-08-13       Impact factor: 3.576

5.  Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms.

Authors:  Liang Guo; Guohao Ju; Boqian Xu; Xiaoquan Bai; Qingyu Meng; Fengyi Jiang; Shuyan Xu
Journal:  Sensors (Basel)       Date:  2022-07-26       Impact factor: 3.847

  5 in total

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