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Correction algorithms of pupil aberration for Fourier ptychographic microscopy

机译:傅立叶PTYCHOGURIC学校正瞳孔像差的校正算法

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Fourier ptychographic microscopy (FPM) is a newly developed imaging approach for achieving wide field and high resolution. However, image quality will degraded by the pupil aberration because of the limitation of geometrical optics. In this paper, two correction algorithms of pupil aberration combining original FPM algorithm with ptychographical iterative engine (PIE) are presented and justified. And the standard coefficients of Zernike polynomial are applied for constructing the pupil aberration in the simulation. Compared to original FPM algorithm, these algorithms add constraints to the sample and the pupil during each iteration, so that the image can be reconstructed and the pupil function can be recovered simultaneously. Furthermore, we illustrate that these algorithms can not only improve robustness, but also have faster convergence under different aberrations.
机译:傅里叶PTYChrapute显微镜(FPM)是一种用于实现广域和高分辨率的新开发的成像方法。然而,由于几何光学器件的限制,瞳孔像差将降低图像质量。本文提出了两种瞳孔像差与Ptychographic迭代发动机(饼图)的瞳孔像差算法的两种校正算法。 Zernike多项式的标准系数用于构建模拟中的瞳孔像差。与原始FPM算法相比,这些算法在每次迭代期间将约束添加到样本和瞳孔,从而可以重建图像并且可以同时恢复瞳孔函数。此外,我们说明这些算法不仅可以提高鲁棒性,而且在不同的像差下也具有更快的收敛性。

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