• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于多焦点数据的参数化波前的最大似然估计。

Maximum-likelihood estimation of parameterized wavefronts from multifocal data.

作者信息

Sakamoto Julia A, Barrett Harrison H

机构信息

College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.

出版信息

Opt Express. 2012 Jul 2;20(14):15928-44. doi: 10.1364/OE.20.015928.

DOI:10.1364/OE.20.015928
PMID:22772282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3601653/
Abstract

A method for determining the pupil phase distribution of an optical system is demonstrated. Coefficients in a wavefront expansion were estimated using likelihood methods, where the data consisted of multiple irradiance patterns near focus. Proof-of-principle results were obtained in both simulation and experiment. Large-aberration wavefronts were handled in the numerical study. Experimentally, we discuss the handling of nuisance parameters. Fisher information matrices, Cramér-Rao bounds, and likelihood surfaces are examined. ML estimates were obtained by simulated annealing to deal with numerous local extrema in the likelihood function. Rapid processing techniques were employed to reduce the computational time.

摘要

展示了一种确定光学系统瞳孔相位分布的方法。使用似然方法估计波前展开中的系数,其中数据由焦点附近的多个辐照度图案组成。在模拟和实验中均获得了原理验证结果。在数值研究中处理了大像差波前。在实验方面,我们讨论了干扰参数的处理。研究了费舍尔信息矩阵、克拉美罗界和似然曲面。通过模拟退火获得最大似然估计,以处理似然函数中的众多局部极值。采用快速处理技术来减少计算时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d11f823818d8/oe-20-14-15928-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/3cda39346b18/oe-20-14-15928-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d6f2ca77fcac/oe-20-14-15928-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/43324960d199/oe-20-14-15928-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/94ed3acba649/oe-20-14-15928-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/15c7f8b352f5/oe-20-14-15928-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/de98a028dd9f/oe-20-14-15928-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d4a7162b8f86/oe-20-14-15928-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/097d7db39978/oe-20-14-15928-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/f7a40a106a4f/oe-20-14-15928-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d11f823818d8/oe-20-14-15928-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/3cda39346b18/oe-20-14-15928-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d6f2ca77fcac/oe-20-14-15928-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/43324960d199/oe-20-14-15928-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/94ed3acba649/oe-20-14-15928-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/15c7f8b352f5/oe-20-14-15928-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/de98a028dd9f/oe-20-14-15928-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d4a7162b8f86/oe-20-14-15928-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/097d7db39978/oe-20-14-15928-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/f7a40a106a4f/oe-20-14-15928-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e5b/3601653/d11f823818d8/oe-20-14-15928-g010.jpg

相似文献

1
Maximum-likelihood estimation of parameterized wavefronts from multifocal data.基于多焦点数据的参数化波前的最大似然估计。
Opt Express. 2012 Jul 2;20(14):15928-44. doi: 10.1364/OE.20.015928.
2
Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions.波前传感中的最大似然方法:随机模型与似然函数
J Opt Soc Am A Opt Image Sci Vis. 2007 Feb;24(2):391-414. doi: 10.1364/josaa.24.000391.
3
Wavefront sensing through measurements of binary aberration modes.通过二元像差模式测量进行波前传感。
Appl Opt. 2009 May 20;48(15):2865-70. doi: 10.1364/ao.48.002865.
4
Cramér-Rao bounds for parametric shape estimation in inverse problems.参数形状估计逆问题的克拉美-罗界。
IEEE Trans Image Process. 2003;12(1):71-84. doi: 10.1109/TIP.2002.806249.
5
Maximum-likelihood analysis of axial displacement in fluorescence phase-shifting interferometry.荧光相移干涉术中轴向位移的最大似然分析。
Opt Express. 2018 Apr 2;26(7):7965-7978. doi: 10.1364/OE.26.007965.
6
Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna Arrays Using Modified Cramér-Rao Lower Bounds.基于改进克拉美罗下界的使用天线阵列的UMTS无源多基地雷达中联合目标参数估计的性能分析
Sensors (Basel). 2017 Oct 18;17(10):2379. doi: 10.3390/s17102379.
7
Cramer-Rao bounds in functional form: theory and application to passive optical ranging.函数形式的克拉美-罗界:理论及其在被动光学测距中的应用
J Opt Soc Am A Opt Image Sci Vis. 2014 Dec 1;31(12):2680-93. doi: 10.1364/JOSAA.31.002680.
8
Wavefront propagation based on the ray transfer matrix and numerical orthogonal Zernike gradient polynomials.基于光线传输矩阵和数值正交泽尼克梯度多项式的波前传播。
J Opt Soc Am A Opt Image Sci Vis. 2019 Jun 1;36(6):1072-1078. doi: 10.1364/JOSAA.36.001072.
9
Statistical generation of normal and post-refractive surgery wavefronts.正常及屈光手术后波前像差的统计生成
Clin Exp Optom. 2009 May;92(3):223-6. doi: 10.1111/j.1444-0938.2009.00379.x. Epub 2009 Jan 2.
10
Cramer-Rao lower bounds on estimation of laser system pointing parameters by use of the return photon signal.基于返回光子信号的激光系统指向参数估计的克拉美-罗下界
Opt Lett. 2006 Apr 15;31(8):1029-31. doi: 10.1364/ol.31.001029.

引用本文的文献

1
Three-Dimensional Single-Molecule Localization Microscopy in Whole-Cell and Tissue Specimens.三维单分子定位显微镜在全细胞和组织标本中的应用。
Annu Rev Biomed Eng. 2020 Jun 4;22:155-184. doi: 10.1146/annurev-bioeng-060418-052203. Epub 2020 Apr 3.
2
Measurement-based estimation of global pupil functions in 3D localization microscopy.三维定位显微镜中基于测量的全局瞳孔函数估计
Opt Express. 2017 Apr 3;25(7):7945-7959. doi: 10.1364/OE.25.007945.
3
Synthetic phase-shifting for optical testing: point-diffraction interferometry without null optics or phase shifters.

本文引用的文献

1
Optical wavefront measurement using phase retrieval with transverse translation diversity.
Opt Express. 2009 Jan 19;17(2):624-39. doi: 10.1364/oe.17.000624.
2
Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions.波前传感中的最大似然方法:随机模型与似然函数
J Opt Soc Am A Opt Image Sci Vis. 2007 Feb;24(2):391-414. doi: 10.1364/josaa.24.000391.
用于光学测试的合成相移:无需零位光学元件或相移器的点衍射干涉测量法。
Opt Express. 2013 Nov 4;21(22):26398-417. doi: 10.1364/OE.21.026398.