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基于双三次下采样和改进的全局相位梯度最小化的数字全息显微镜自动像差补偿

Automatic aberration compensation for digital holographic microscopy based on bicubic downsampling and improved minimization of global phase gradients.

作者信息

Yang Jupu, Li Fanxing, Du Jialin, Yang Fan, Yu Siyang, Chen Qingrong, Wang Jian, Zhang Xi, Sun Si, Yan Wei

出版信息

Opt Express. 2023 Oct 23;31(22):36188-36201. doi: 10.1364/OE.496840.

DOI:10.1364/OE.496840
PMID:38017773
Abstract

In digital holographic microscopy, aberrations caused by imperfect optical system settings can greatly affect the quantitative measurement of the target phase, so the compensation of aberrations in the distorted phase has become a key point of research in digital holographic microscopy. Here, we propose a fully automatic numerical phase aberration compensation method with fast computational speed and high robustness. The method uses bicubic downsampling to smooth the sample phase for reducing its disturbance to the background aberration fit, while reducing the computational effort of aberration compensation. Polynomial coefficients of the aberration fitting are iteratively optimized in the process of minimizing the global phase gradient by improving the phase gradient operator and constructing the loss function to achieve accurate fitting of the phase aberration. Simulation and experimental results show that the proposed method can achieve high aberration compensation accuracy without prior knowledge of the hologram recording settings or manual selection of the background area free of samples, and it is suitable for samples with moderate and relatively flat background area, which can be widely used in the quantitative analysis of biological tissues and micro and nano structures.

摘要

在数字全息显微镜中,由不完善的光学系统设置引起的像差会极大地影响目标相位的定量测量,因此对失真相位中的像差进行补偿已成为数字全息显微镜研究的重点。在此,我们提出一种具有快速计算速度和高鲁棒性的全自动数值相位像差补偿方法。该方法使用双三次下采样来平滑样本相位,以减少其对背景像差拟合的干扰,同时减少像差补偿的计算量。通过改进相位梯度算子并构建损失函数,在最小化全局相位梯度的过程中对像差拟合的多项式系数进行迭代优化,以实现相位像差的精确拟合。仿真和实验结果表明,所提出的方法无需全息图记录设置的先验知识或手动选择无样本的背景区域,就能实现高像差补偿精度,并且适用于具有中等且相对平坦背景区域的样本,可广泛应用于生物组织以及微纳结构的定量分析。

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