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Digital adaptive optics confocal microscopy based on iterative retrieval of optical aberration from a guidestar hologram

机译:数字自适应光学共聚焦显微镜基于从指南星全息图中迭代获取的光学像差

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摘要

Guidestar hologram based digital adaptive optics (DAO) is one recently emerging active imaging modality. It records each complex distorted line field reflected or scattered from the sample by an off-axis digital hologram, measures the optical aberration from a separate off-axis digital guidestar hologram, and removes the optical aberration from the distorted line fields by numerical processing. In previously demonstrated DAO systems, the optical aberration was directly retrieved from the guidestar hologram by taking its Fourier transform and extracting the phase term. For the direct retrieval method (DRM), when the sample is not coincident with the guidestar focal plane, the accuracy of the optical aberration retrieved by DRM undergoes a fast decay, leading to quality deterioration of corrected images. To tackle this problem, we explore here an image metrics-based iterative method (MIM) to retrieve the optical aberration from the guidestar hologram. Using an aberrated objective lens and scattering samples, we demonstrate that MIM can improve the accuracy of the retrieved aberrations from both focused and defocused guidestar holograms, compared to DRM, to improve the robustness of the DAO.
机译:基于Guidestar全息图的数字自适应光学(DAO)是一种新兴的主动成像方式。它通过离轴数字全息图记录从样品反射或散射的每个复杂畸变线场,从单独的离轴数字指南星全息图测量光学像差,并通过数值处理消除畸变线场的光学像差。在先前演示的DAO系统中,通过进行引导傅里叶变换的傅里叶变换并提取相位项,可以直接从指南星全息图中检索光学像差。对于直接检索方法(DRM),当样本与引导星焦平面不一致时,通过DRM检索的光学像差的精度会快速衰减,从而导致校正图像的质量下降。为了解决这个问题,我们在这里探索一种基于图像指标的迭代方法(MIM),以从指南星全息图中检索光学像差。与DRM相比,使用像差的物镜和散射样本,我们证明MIM可以提高从聚焦和散焦的引导星全息图检索到的像差的准确性,从而提高DAO的鲁棒性。

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