Single-shot experimental-numerical twin-image removal in lensless digital holographic microscopy

被引:8
作者
Arcab, Piotr [1 ]
Rogalski, Mikolaj [1 ]
Trusiak, Maciej [1 ]
机构
[1] Warsaw Univ Technol, Inst Micromech & Photon, 8 Sw A Boboli St, PL-02525 Warsaw, Poland
关键词
Lensless digital holographic microscopy; Twin -image removal; In -line holography; Off -axis holography; Numerical reconstruction; quantitative phase imaging; PHASE; RECONSTRUCTION; ALGORITHMS; SIMULATION; CRITERION; COHERENCE; FIELD; ILLUMINATION; PROPAGATION; RESOLUTION;
D O I
10.1016/j.optlaseng.2023.107878
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Lensless digital holographic microscopy (LDHM) offers very large field of view label-free imaging crucial, e.g., in high-throughput particle tracking and biomedical examination of cells and tissues. Compact layouts promote point-of-case and out-of-laboratory applications. The LDHM, based on the Gabor in-line holographic principle, is inherently spoiled by the twin-image effect, which complicates the quantitative analysis of reconstructed phase and amplitude maps. Popular family of solutions consists of numerical methods, which tend to minimize twinimage upon iterative process based on data redundancy. Additional hologram recordings are needed, and final results heavily depend on the algorithmic parameters, however. In this contribution we present a novel single-shot experimental-numerical twin-image removal technique for LDHM. It leverages two-source off-axis hologram recording deploying simple fiber splitter. Additionally, we introduce a novel phase retrieval numerical algorithm specifically tailored to the acquired holograms, that provides twin-image-free reconstruction without compromising the resolution. We quantitatively and qualitatively verify proposed method employing phase test target and cheek cells biosample. The results demonstrate that the proposed technique enables low-cost compact LDHM imaging with enhanced precision, achieved through the elimination of twin-image errors. This advancement opens new avenues for more accurate technical and biomedical imaging applications using LDHM, particularly in scenarios where cost-effective and portable imaging solutions are desired.
引用
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页数:9
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