Dual-plane coupled phase retrieval for non-prior holographic imaging

被引:84
作者
Huang, Zhengzhong [1 ]
Memmolo, Pasquale [2 ]
Ferraro, Pietro [2 ]
Cao, Liangcai [1 ]
机构
[1] Tsinghua Univ, Dept Precis Instruments, State Key Lab Precis Measurement Technol & Instru, Beijing 100084, Peoples R China
[2] CNR ISASI, Inst Appl Sci & Intelligent Syst E Caianiello, Via Campi Flegrei 34, I-80078 Naples, Italy
基金
中国国家自然科学基金;
关键词
Digital holography; Phase retrieval; Full bandwidth; In-line holography; Off-axis holography; IN-LINE HOLOGRAMS; WIDE-FIELD; MICROSCOPY; RECONSTRUCTION; SPACE; ASSISTANCE; TRANSPORT; EFFICIENT;
D O I
10.1186/s43074-021-00046-w
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Accurate depiction of waves in temporal and spatial is essential to the investigation of interactions between physical objects and waves. Digital holography (DH) can perform quantitative analysis of wave-matter interactions. Full detector-bandwidth reconstruction can be realized based on in-line DH. But the overlapping of twin images strongly prevents quantitative analysis. For off-axis DH, the object wave and the detector bandwidth need to satisfy certain conditions to perform reconstruction accurately. Here, we present a reliable approach involving a coupled configuration for combining two in-line holograms and one off-axis hologram, using a rapidly converging iterative procedure based on two-plane coupled phase retrieval (TwPCPR) method. It realizes a fast-convergence holographic calculation method. High-resolution and full-field reconstruction by exploiting the full bandwidth are demonstrated for complex-amplitude reconstruction. Off-axis optimization phase provides an effective initial guess to avoid stagnation and minimize the required measurements of multi-plane phase retrieval. The proposed strategy works well for more extended samples without any prior assumptions of the objects including support, non-negative, sparse constraints, etc. It helps to enhance and empower applications in wavefront sensing, computational microscopy and biological tissue analysis.
引用
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页数:16
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