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通过散射介质的梯度辅助聚焦光。

Gradient-assisted focusing light through scattering media.

作者信息

Zhao Yanyu, He Qiaozhi, Li Shuna, Yang Jiamiao

出版信息

Opt Lett. 2021 Apr 1;46(7):1518-1521. doi: 10.1364/OL.417606.

Abstract

Focusing light through a scattering medium is a longstanding challenge in biomedical optics, to which wavefront shaping is a powerful solution. The state-of-the-art feedback-based approach is the widely used genetic algorithm method. However, it can only achieve relatively low enhancement of the focus, and the genetic algorithm is known to be time-consuming. To tackle those issues, we propose a gradient-assisted strategy for wavefront shaping. The proposed method conducts optimization in the function distribution space. Specifically, when optimizing the parameters along each iteration, the consequent function distribution changes within a distance as measured by the Kullback-Leibler divergence. Taking advantage of the gradient information, the proposed method is over 60× faster to obtain the same peak-to-background ratio (PBR) level. Compared with the genetic algorithm that is able to optimize a number of 64×64 phase segments, the proposed gradient strategy is able to optimize 256×256 phase segments, and gives 20× higher focus enhancement as quantified by the PBR.

摘要

在生物医学光学领域,将光聚焦透过散射介质是一个长期存在的挑战,而波前整形是一种有效的解决方案。目前最先进的基于反馈的方法是广泛使用的遗传算法。然而,它只能实现相对较低的聚焦增强,并且已知遗传算法耗时较长。为了解决这些问题,我们提出了一种用于波前整形的梯度辅助策略。所提出的方法在函数分布空间中进行优化。具体而言,在每次迭代中优化参数时,后续的函数分布会在由库尔贝克-莱布勒散度测量的距离内发生变化。利用梯度信息,所提出的方法在获得相同的峰谷比(PBR)水平时速度提高了60多倍。与能够优化64×64个相位段的遗传算法相比,所提出的梯度策略能够优化256×256个相位段,并且由PBR量化的聚焦增强提高了20倍。

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