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Wavefront-sensorless aberration correction of extended objects using a MEMS deformable mirror

机译:使用MEMS可变形镜子的扩展物体的波前无传感器像差校正

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The original proposal of wavefront-sensorless aberration correction was suggested by Muller and Buffington[1]. In this technique we attempt to correct for wavefront aberrations without the use of conventional wavefront sensing. We apply commands to a corrective element with adjustable segments in an attempt to maximise a metric which correlates to image quality. We employ search algorithms to find the optimal combination of actuator voltages on a DM to maximise a certain sharpness metric. The "sharpness" is based on intensity measurements taken with a CCD camera. It has been shown that sharpness maximisation, using the simplex algorithm, can minimise the aberrations and restore the Airy rings of an imaged point source. This paper demonstrates that the technique can be applied to extended objects which have been aberrated using a Hamamatsu SLM to induce aberrations. The correction achieved using various search algorithms are evaluated and presented.
机译:Muller和Buffington提出了波前无传感器畸变校正的原始提议[1]。在这种技术中,我们试图在不使用传统的波前感测的情况下纠正波前像差。我们将命令应用于具有可调段的纠正元件,以便最大化与图像质量相关的度量。我们采用搜索算法来查找DM上的致动器电压的最佳组合,以最大化某个清晰度度量。 “清晰度”基于用CCD相机拍摄的强度测量。已经表明,使用单纯形算法的锐度最大化可以最小化像差并恢复成像点源的通风环。本文展示了该技术可以应用于使用Hamamatsu SLM诱导像差的扩展对象。评估和呈现使用各种搜索算法实现的校正。

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