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

机译:使用MEMS可变形镜对扩展对象进行无波前传感器无像差校正

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The original proposal of wavefront-sensorless aberration correction was suggested by Muller and Buffington. 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提出了无波前无像差校正的最初建议。在这种技术中,我们尝试不使用常规的波前感测来校正波前像差。我们将命令应用于具有可调整段的校正元素,以尝试最大化与图像质量相关的度量。我们采用搜索算法来找到DM上执行器电压的最佳组合,以最大化某个清晰度指标。 “清晰度”是基于使用CCD相机进行的强度测量得出的。已经表明,使用单纯形算法可以使锐度最大化,从而最小化像差并恢复成像点源的艾里环。本文证明了该技术可以应用于使用Hamamatsu SLM引起像差的扩展对象。评估并介绍了使用各种搜索算法实现的校正。

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