Design of the spatial filter window for digital holographic convolution reconstruction of object beam field

Li, Junchang; Peng, Zu-jie; Tankam, Patrice; Picart, Pascal

doi:10.1016/j.optcom.2010.06.051

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Thus, the accurate and complete selection of spectrum has a direct bearing on extracting high-precision phase distribution. The object spectrum is usually selected by band-pass filtering [17,18,32,33]. 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.…”

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%