Complex wavefront sensing based on coherent diffraction imaging using vortex modulation
Abstract Phase retrieval seeks to reconstruct the phase from the measured intensity, which is an ill-posed problem. A phase retrieval problem can be solved with physical constraints by modulating the investigated complex wavefront. Orbital angular momentum has been recently employed as a type of rel...
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2021-04-01
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Online Access: | https://doi.org/10.1038/s41598-021-88523-x |
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doaj-a5f57bee04da4cc8a3338e94a0321a842021-05-02T11:34:49ZengNature Publishing GroupScientific Reports2045-23222021-04-011111810.1038/s41598-021-88523-xComplex wavefront sensing based on coherent diffraction imaging using vortex modulationRujia Li0Liangcai Cao1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua UniversityState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua UniversityAbstract Phase retrieval seeks to reconstruct the phase from the measured intensity, which is an ill-posed problem. A phase retrieval problem can be solved with physical constraints by modulating the investigated complex wavefront. Orbital angular momentum has been recently employed as a type of reliable modulation. The topological charge l is robust during propagation when there is atmospheric turbulence. In this work, topological modulation is used to solve the phase retrieval problem. Topological modulation offers an effective dynamic range of intensity constraints for reconstruction. The maximum intensity value of the spectrum is reduced by a factor of 173 under topological modulation when l is 50. The phase is iteratively reconstructed without a priori knowledge. The stagnation problem during the iteration can be avoided using multiple topological modulations.https://doi.org/10.1038/s41598-021-88523-x |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rujia Li Liangcai Cao |
spellingShingle |
Rujia Li Liangcai Cao Complex wavefront sensing based on coherent diffraction imaging using vortex modulation Scientific Reports |
author_facet |
Rujia Li Liangcai Cao |
author_sort |
Rujia Li |
title |
Complex wavefront sensing based on coherent diffraction imaging using vortex modulation |
title_short |
Complex wavefront sensing based on coherent diffraction imaging using vortex modulation |
title_full |
Complex wavefront sensing based on coherent diffraction imaging using vortex modulation |
title_fullStr |
Complex wavefront sensing based on coherent diffraction imaging using vortex modulation |
title_full_unstemmed |
Complex wavefront sensing based on coherent diffraction imaging using vortex modulation |
title_sort |
complex wavefront sensing based on coherent diffraction imaging using vortex modulation |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-04-01 |
description |
Abstract Phase retrieval seeks to reconstruct the phase from the measured intensity, which is an ill-posed problem. A phase retrieval problem can be solved with physical constraints by modulating the investigated complex wavefront. Orbital angular momentum has been recently employed as a type of reliable modulation. The topological charge l is robust during propagation when there is atmospheric turbulence. In this work, topological modulation is used to solve the phase retrieval problem. Topological modulation offers an effective dynamic range of intensity constraints for reconstruction. The maximum intensity value of the spectrum is reduced by a factor of 173 under topological modulation when l is 50. The phase is iteratively reconstructed without a priori knowledge. The stagnation problem during the iteration can be avoided using multiple topological modulations. |
url |
https://doi.org/10.1038/s41598-021-88523-x |
work_keys_str_mv |
AT rujiali complexwavefrontsensingbasedoncoherentdiffractionimagingusingvortexmodulation AT liangcaicao complexwavefrontsensingbasedoncoherentdiffractionimagingusingvortexmodulation |
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1721492008767324160 |