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Fourier ptychography multi-parameunter neural network with composite physical priori optimization.具有复合物理先验优化的傅里叶叠层成像多参数神经网络
Biomed Opt Express. 2022 Apr 11;13(5):2739-2753. doi: 10.1364/BOE.456380. eCollection 2022 May 1.
2
Robust Fourier ptychographic microscopy via a physics-based defocusing strategy for calibrating angle-varied LED illumination.通过基于物理的散焦策略校准角度变化的LED照明实现稳健的傅里叶叠层显微镜技术。
Biomed Opt Express. 2022 Feb 22;13(3):1581-1594. doi: 10.1364/BOE.452507. eCollection 2022 Mar 1.
3
A Simply Equipped Fourier Ptychography Platform Based on an Industrial Camera and Telecentric Objective.基于工业相机和远心物镜的简易傅里叶叠层成像平台。
Sensors (Basel). 2019 Nov 11;19(22):4913. doi: 10.3390/s19224913.
4
Fast and robust misalignment correction of Fourier ptychographic microscopy for full field of view reconstruction.用于全视场重建的傅里叶叠层显微镜快速且稳健的失准校正
Opt Express. 2018 Sep 3;26(18):23661-23674. doi: 10.1364/OE.26.023661.
5
Efficient illumination angle self-calibration in Fourier ptychography.傅里叶叠层成像术中的高效照明角度自校准
Appl Opt. 2018 Jul 1;57(19):5434-5442. doi: 10.1364/AO.57.005434.
6
System calibration method for Fourier ptychographic microscopy.傅里叶叠层显微镜的系统校准方法
J Biomed Opt. 2017 Sep;22(9):1-11. doi: 10.1117/1.JBO.22.9.096005.
7
Diffraction tomography with Fourier ptychography.傅里叶叠层衍射层析成像
Optica. 2016 Aug;3(8):827-835. doi: 10.1364/OPTICA.3.000827. Epub 2016 Jul 27.
8
Adaptive step-size strategy for noise-robust Fourier ptychographic microscopy.用于抗噪声傅里叶叠层显微镜的自适应步长策略。
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Biomed Opt Express. 2016 Mar 17;7(4):1336-50. doi: 10.1364/BOE.7.001336. eCollection 2016 Apr 1.
10
Sampling criteria for Fourier ptychographic microscopy in object space and frequency space.物体空间和频率空间中傅里叶叠层显微镜的采样标准。
Opt Express. 2016 Jul 11;24(14):15765-81. doi: 10.1364/OE.24.015765.

傅里叶叠层显微镜中LED阵列的稳健全姿态参数估计

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

作者信息

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

机构信息

School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Biomed Opt Express. 2022 Aug 1;13(8):4468-4482. doi: 10.1364/BOE.467622.

DOI:10.1364/BOE.467622
PMID:36032585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9408239/
Abstract

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.

摘要

傅里叶叠层显微镜(FPM)通过合成一组在角度变化照明下捕获的低分辨率强度图像,能够实现具有大空间带宽积的定量相位成像。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成像至关重要。本文提出了一种基于全姿态参数和物理模型的照明角度校准方法。利用基于所使用显微镜的一般知识和捕获图像内明场到暗场边界构建的物理模型,我们可以求解错位LED阵列的全姿态参数,这些参数包括样品与LED阵列之间的距离、两个正交横向偏移、一个平面内旋转角度和两个倾斜角度,从而精确校正照明角度。定性和定量实验均证明了所提方法用于恢复随机或显著姿态参数的可行性和有效性。由于姿态参数的完整性、物理模型的清晰性以及对任意错位的高鲁棒性,我们的方法能够显著促进简洁且鲁棒的FPM平台的设计、实现及应用。