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Accelerated Wirtinger Flow for Multiplexed Fourier Ptychographic Microscopy

机译:多重傅里叶质谱分析的加速维特林格流

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Fourier ptychographic microscopy enables gigapixel-scale imaging, with both large field-of-view and high resolution. Using a set of low-resolution images that are recorded under varying illumination angles, the goal is to computationally reconstruct high-resolution phase and amplitude images. To increase temporal resolution, one may use multiplexed measurements where the sample is illuminated simultaneously from a subset of the angles. In this paper, we develop an algorithm for Fourier ptychographic microscopy with such multiplexed illumination. Specifically, we consider gradient descent type updates and propose an analytical step size that ensures the convergence of the iterates to a stationary point. Furthermore, we propose an accelerated version of our algorithm (with the same step size) which significantly improves the convergence speed. We demonstrate that the practical performance of our algorithm is identical to the case where the step size is manually tuned. Finally, we apply our parameter-free approach to real data and validate its applicability.
机译:傅里叶指纹图谱显微镜可以实现大像素和高分辨率的十亿像素级成像。使用在不同照明角度下记录的一组低分辨率图像,目标是通过计算重建高分辨率相位和幅度图像。为了增加时间分辨率,可以使用多路复用的测量,其中从一个角度的子集同时照射样品。在本文中,我们开发了一种具有这种多重照明的傅立叶色谱分析算法。具体来说,我们考虑梯度下降类型更新,并提出一个分析步长,以确保迭代收敛到固定点。此外,我们提出了一种算法的加速版本(具有相同的步长),可以显着提高收敛速度。我们证明了我们算法的实际性能与手动调整步长的情况相同。最后,我们将无参数方法应用于真实数据并验证其适用性。

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