Automated interferometric synthetic aperture microscopy and computational adaptive optics for improved optical coherence tomography

被引：15
|
作者：
Xu, Yang [1 ,2 ]
Liu, Yuan-Zhi [1 ,2 ]
Boppart, Stephen A. [1 ,2 ,3 ]
Carney, P. Scott [1 ,2 ]
机构：
[1] Univ Illinois, Beckman Inst Adv Sci & Technol, 405 North Mathews Ave, Urbana, IL 61801 USA
[2] Univ Illinois, Dept Elect & Comp Engn, 306 North Wright St, Urbana, IL 61801 USA
[3] Univ Illinois, Dept Bioengn, 1304 West Springfield Ave, Urbana, IL 61801 USA
来源：
APPLIED OPTICS | 2016年 / 55卷 / 08期
基金：
美国国家卫生研究院; 美国国家科学基金会;
关键词：
HIGH-SPEED; ULTRAHIGH-RESOLUTION;
D O I：
10.1364/AO.55.002034
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we introduce an algorithm framework for the automation of interferometric synthetic aperture microscopy (ISAM). Under this framework, common processing steps such as dispersion correction, Fourier domain resampling, and computational adaptive optics aberration correction are carried out as metrics-assisted parameter search problems. We further present the results of this algorithm applied to phantom and biological tissue samples and compare with manually adjusted results. With the automated algorithm, near-optimal ISAM reconstruction can be achieved without manual adjustment. At the same time, the technical barrier for the nonexpert using ISAM imaging is also significantly lowered. (C) 2016 Optical Society of America
引用
收藏
页码：2034 / 2041
页数：8
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