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Three-dimensional space optimization for near-field ptychography
Pan, An1,2; Yao, Baoli1,3
Source PublicationOPTICS EXPRESS
Contribution Rank1

A multiple slices approach in ptychography, termed 3ePIE algorithm, solves the multiple scattering problems of thick samples, which is crucial to biomedical imaging and in situ studies. However, it is unclear how many slices need to be separated and what the distance is between each layer respectively, while these two parameters are sensitive and crucial to the recovery of thick samples. The traditional method is to separate the sample with the same interval for convenience and to test the number of sections for the best reconstructions, which is reasonable for continuous samples and has achieved great results. But this kind of segmentation approach may not be scientific enough for those discrete samples with an uneven spatial distribution. The two inaccurate parameters may yield the algorithm to diverge or generate artifacts, and the empty slices may decrease the reconstruction quality and increase computation time. In addition, repeatedly testing the number of slices is tedious work even for a continuous sample. To this end, a genetic algorithm-based 3ePIE approach, termed the GA-3ePIE method, is proposed to retrieve both the interval between each layer and the number of slices. The performance is verified by both simulations and experiments. The maximum number of sections that can be resolved is also investigated in numerical analysis, which is associated with the sampling and overlap rate in a spatial domain. Our method can be also promoted to image thick samples with coherent X-rays and in the electron regime. The limitations of our method are also discussed. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Indexed BySCI ; EI
WOS IDWOS:000459152800148
EI Accession Number20190906559972
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Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorYao, Baoli
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Trunsient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100099, Peoples R China
3.Shanxi Univ, Collaborat Innovat Ctr Extreme Opt, Taiyuan 030006, Shanxi, Peoples R China
Recommended Citation
GB/T 7714
Pan, An,Yao, Baoli. Three-dimensional space optimization for near-field ptychography[J]. OPTICS EXPRESS,2019,27(4):5433–5446.
APA Pan, An,&Yao, Baoli.(2019).Three-dimensional space optimization for near-field ptychography.OPTICS EXPRESS,27(4),5433–5446.
MLA Pan, An,et al."Three-dimensional space optimization for near-field ptychography".OPTICS EXPRESS 27.4(2019):5433–5446.
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