论文标题

在傅立叶ptychographic显微镜中的LED阵列的强大全置参数估计

Robust full-pose-parameter estimation for the LED array in Fourier ptychographic microscopy

论文作者

Zheng, Chuanjian, Zhang, Shaohui, Yang, Delong, Zhou, Guocheng, Hu, Yao, Hao, Qun

论文摘要

傅立叶Ptychographic显微镜(FPM)可以通过合成在角度变化的照明下捕获的一组低分辨率强度图像来使用大型带宽产物实现定量相成像。确定准确的照明角度至关重要,因为实际系统参数与恢复算法中使用的参数之间的一致性对于高质量的成像至关重要。本文介绍了一种基于全档参数和物理学的方法,用于校准照明角度。 Using a physics-based model constructed with general knowledge of the employed microscope and the brightfield-to-darkfield boundaries inside captured images, we can solve for the full-pose parameters of misplaced LED array, which consist of the distance between the sample and the LED array, two orthogonal lateral shifts, one in-plane rotation angle, and two tilt angles, to correct illumination angles precisely.定性和定量实验都证明了提出的恢复随机或显着姿势参数的方法的可行性和有效性。由于姿势参数的完整性,物理模型的清晰度以及对任意未对准的高鲁棒性,我们的方法可以显着促进设计,实现和应用简洁和强大的FPM平台。

Fourier ptychographic microscopy (FPM) can achieve quantitative phase imaging with a large space-bandwidth product by synthesizing a set of low-resolution intensity images captured under angularly varying illuminations. Determining accurate illumination angles is critical because the consistency between actual systematic parameters and those used in the recovery algorithm is essential for high-quality imaging. This paper presents a full-pose-parameter and physics-based method for calibrating illumination angles. Using a physics-based model constructed with general knowledge of the employed microscope and the brightfield-to-darkfield boundaries inside captured images, we can solve for the full-pose parameters of misplaced LED array, which consist of the distance between the sample and the LED array, two orthogonal lateral shifts, one in-plane rotation angle, and two tilt angles, to correct illumination angles precisely. The feasibility and effectiveness of the proposed method for recovering random or remarkable pose parameters have been demonstrated by both qualitative and quantitative experiments. Due to the completeness of the pose parameters, the clarity of the physical model, and the high robustness for arbitrary misalignments, our method can significantly facilitate the design, implementation, and application of concise and robust FPM platforms.

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