基于傅立叶图像重建的高通量无伪影微离轴全息成像

Qian Shen, Jiasong Sun, Yao Fan, Zhuoshi Li, P. Gao, Qian Chen, C. Zuo
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引用次数: 4

摘要

微离轴数字全息显微镜(DHM)由于其独特的能力,在一定程度上将物体信息与背景强度分离的同时,提高了成像系统的空间带宽积(SBP),最近引起了人们的极大关注。为了获得良好的图像重建,仍然需要解决光谱混叠问题,然而,这很难通过传统的线性傅立叶域滤波来实现。为此,本文提出了一种基于傅立叶层析显微镜(FPM)的高通量无伪影微离轴全息重建方法。受FPM非线性优化相位重建算法的启发,我们以迭代的方式在实域和傅立叶域之间进行约束更新,以通过全息图强度重建复振幅。对HeLa活细胞样本的实验结果表明,与传统的傅立叶方法和基于Kramers–Kronig(KK)关系的方法相比,该方法可以提供更高的重建精度和更好的图像质量。
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High-throughput artifact-free slightly off-axis holographic imaging based on Fourier ptychographic reconstruction
Slightly off-axis digital holographic microscopy (DHM) has recently gained considerable attention due to its unique ability to improve the space-bandwidth product (SBP) of the imaging system while separating the object information from the background intensity to a certain extent. In order to obtain a decent image reconstruction, the spectral aliasing problem still needs to be addressed, which, however, is difficult to be achieved by the conventional linear Fourier domain filtering. To this end, in this paper, we propose a high-throughput artifact-free slightly off-axis holographic reconstruction method based on Fourier ptychographic microscopy (FPM). Inspired by the nonlinear optimized phase reconstruction algorithm of FPM, we perform constrained updates between the real and Fourier domains in an iterative manner to reconstruct the complex amplitude by the hologram intensity. Experimental results on live HeLa cell samples show that the proposed method can provide higher reconstruction accuracy and better image quality compared with the conventional Fourier method and the Kramers–Kronig (KK) relation-based method.
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