Numerical iterative approach for zero-order term elimination in off-axis digital holography

Ma, Zhixin; Deng, Lijun; Yang, Yong; Zhai, Hongchen; Ge, Qi

doi:10.1364/oe.21.028314

Cited by 27 publications

(10 citation statements)

References 18 publications

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“…However, for biological tissues, which have complex structure, the wide spectrum of the tissues will cause serious spectrum aliasing with zero-order diffraction spectrum, which reduces the precision of AS algorithm and make the biological phase analysis not accurate enough. Several methods have been proposed to suppressing zero-order and thus eliminate the spectrum aliasing, such as nonlinear reconstruction technique [34], iterative approach [35][36][37] and image plane filtering method based on spherical reconstructed wave [38,39]. These methods can solve the spectrum aliasing, but the nonlinear technique may have complex processing, the iterative approach is comparatively time-consuming and the spherical wave introduced in image plane filtering is not suitable for phase extraction because of the introduction of other phase information.…”

Section: Introductionmentioning

confidence: 99%

Phase distribution analysis of tissues based on the off-axis digital holographic hybrid reconstruction algorithm

Lin

Dong

Chen

et al. 2017

Biomed. Opt. Express

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Off-axis digital holography (DH) has great potential in histopathology for its high efficiency and precision. Phase distribution, usually extracted by the angular spectrum (AS) algorithm from a digital hologram, reflects important structural information of biological tissues. However, the complex structure of tissues introduces spectrum aliasing of the hologram, making the AS algorithm hard to realize and accurate phase analysis difficult to conduct. Here, we present a hybrid reconstruction algorithm, combining Fresnel reconstruction in spatial domain with the AS algorithm in frequency domain, to solve aliasing by spatial filtering. Through simulation, we demonstrate the feasibility and superiority of the hybrid algorithm and verified the precision (10 rad) of the hybrid algorithm with spectrum aliasing. We extract phase distributions from normal urothelial and bladder cancer tissues by the hybrid algorithm and make quantitative analysis through histogram and standard deviation. The result shows the hybrid algorithm in off-axis DH has great advantage for the high-precision phase extraction of tissues and supplies significant information for cancer diagnosis.

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Section: Introductionmentioning

confidence: 99%

Phase distribution analysis of tissues based on the off-axis digital holographic hybrid reconstruction algorithm

Lin

Dong

Chen

et al. 2017

Biomed. Opt. Express

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“…The presence of the zero-order spectrum is a common problem in other applications, such as digital holography, where several approaches for eliminating it have been proposed [43][44][45][46]. In the context of fringe analysis, zero-order spectrum suppression can be addressed by the so-called Fourier fringe-normalized analysis [36,47], as explained as follows.…”

Section: A Fourier Fringe-normalized Analysismentioning

confidence: 99%

Theory and algorithms of an efficient fringe analysis technology for automatic measurement applications

2015

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Some advances in fringe analysis technology for phase computing are presented. A full scheme for phase evaluation, applicable to automatic applications, is proposed. The proposal consists of: a fringe-pattern normalization method, Fourier fringe-normalized analysis, generalized phase-shifting processing for inhomogeneous nonlinear phase shifts and spatiotemporal visibility, and a phase-unwrapping method by a rounding-least-squares approach. The theoretical principles of each algorithm are given. Numerical examples and an experimental evaluation are presented.

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“…However, due to the need for phase shifting, the setup becomes more complex as a consequence, and either its rate of acquisition or utilization of the field-of-view of the camera decreases. Several digital approaches have been proposed to suppress the zero-order term [12][13][14][15][16][17], such as nonlinear filtering and the iterative approach. However, most such approaches are time consuming.…”

Section: Introductionmentioning

confidence: 99%

Fast phase reconstruction in off-axis digital holography with zero-order term suppression

Luan¹,

Shan²,

Zhong³

et al. 2020

Optica Applicata

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A fast phase reconstruction method (FPRM) employing a free-sample hologram can improve the efficiency of phase reconstruction in off-axis digital holography. However, the space-bandwidth product is still confined by spectrum aliasing in the hologram owing to the zero-order term. In this paper, we propose an FPRM that features an efficient zero-order term suppression method called the average gray that can eliminate spectrum shifting. We can implement phase reconstruction by considering both speed and the space-bandwidth product. We verified the validity of our approach for off-axis digital holography using laser and white-light illumination.

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Numerical iterative approach for zero-order term elimination in off-axis digital holography

Cited by 27 publications

References 18 publications

Phase distribution analysis of tissues based on the off-axis digital holographic hybrid reconstruction algorithm

Phase distribution analysis of tissues based on the off-axis digital holographic hybrid reconstruction algorithm

Theory and algorithms of an efficient fringe analysis technology for automatic measurement applications

Fast phase reconstruction in off-axis digital holography with zero-order term suppression

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