• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied optics >High-resolution retinal imaging with micro adaptive optics system
【24h】

High-resolution retinal imaging with micro adaptive optics system

机译：带有微自适应光学系统的高分辨率视网膜成像

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Based on the dynamic characteristics of human eye aberration, a microadaptive optics retina imaging system set is established for real-time wavefront measurement and correction. This paper analyzes the working principles of a 127-unit Hartmann-Shack wavefront sensor and a 37-channel micromachine membrane deformable mirror adopted in the system. The proposed system achieves wavefront reconstruction through the adaptive centroid detection method and the mode reconstruction algorithm of Zernike polynomials, so that human eye aberration can be measured accurately. Meanwhile, according to the adaptive optics aberration correction control model, a closed-loop iterative aberration correction algorithm based on Smith control is presented to realize efficient and real-time correction of human eye aberration with different characteristics, and characteristics of the time domain of the system are also optimized. According to the experiment results tested on a USAF 1951 standard resolution target and a living human retina (subject ZHY), the resolution of the system can reach 3.6 LP/mm, and the human eye wavefront aberration of 0.728lambda (lambda velence 785 nm) can be corrected to 0.081lambda in root mean square (RMS) so as to achieve the diffraction limit (Strehl ratio is 0.866), then high-resolution retina images are obtained.
机译：基于人眼像差的动态特征，建立了微自适应光学视网膜成像系统，用于实时波前测量和校正。本文分析了系统中采用的127单元Hartmann-Shack波前传感器和37通道微机膜可变形反射镜的工作原理。所提出的系统通过自适应质心检测方法和Zernike多项式的模式重构算法实现波前重构，从而可以准确地测量人眼像差。同时，根据自适应光学像差校正控制模型，提出了一种基于史密斯控制的闭环迭代像差校正算法，以实现不同特征，时域特性的人眼像差的高效实时校正。系统也进行了优化。根据在USAF 1951标准分辨率目标和活人视网膜（受试者ZHY）上测试的实验结果，系统的分辨率可以达到3.6 LP / mm，人眼的波前像差为0.728λ（λvelence 785 nm）。可以将其均方根（RMS）校正为0.081λ，以达到衍射极限（Strehl比为0.866），然后获得高分辨率的视网膜图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号