Sensorless adaptive optics system based on image second moment measurements

T. Agbana, Huizhen Yang, O. Soloviev, G. Vdovin, M. Verhaegen
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引用次数: 1

Abstract

This paper presents experimental results of a static aberration control algorithm based on the linear relation be- tween mean square of the aberration gradient and the second moment of point spread function for the generation of control signal input for a deformable mirror (DM). Results presented in the work of Yang et al.1 suggested a good feasibility of the method for correction of static aberration for point and extended sources. However, a practical realisation of the algorithm has not been demonstrated. The goal of this article is to check the method experimentally in the real conditions of the present noise, finite dynamic range of the imaging camera, and system misalignments. The experiments have shown strong dependence of the linearity of the relationship on image noise and overall image intensity, which depends on the aberration level. Also, the restoration capability and the rate of convergence of the AO system for aberrations generated by the deformable mirror are experi- mentally investigated. The presented approach as well as the experimental results finds practical application in compensation of static aberration in adaptive microscopic imaging system.
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基于图像秒矩测量的无传感器自适应光学系统
本文给出了一种基于像差梯度均方与点扩散函数二阶矩之间的线性关系的静态像差控制算法的实验结果,该算法用于生成可变形镜的控制信号输入。Yang等人1的工作结果表明,该方法对点源和扩展源的静像差校正具有良好的可行性。然而,该算法的实际实现尚未得到证明。本文的目的是在现有噪声、成像相机动态范围有限和系统不对准的实际条件下,对该方法进行实验验证。实验表明,该关系的线性程度对图像噪声和图像整体强度有很强的依赖性,而图像整体强度又取决于像差水平。实验研究了AO系统对变形镜产生的像差的恢复能力和收敛速度。实验结果表明,该方法在自适应显微成像系统的静态像差补偿中具有实际应用价值。
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