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Error Budget Analysis for an Adaptive Optics Optical Coherence Tomography System

机译:自适应光学光学相干层析成像系统的误差预算分析

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摘要

The combination of adaptive optics (AO) technology with optical coherence tomography (OCT) instrumentation for imaging the retina has proven to be a valuable tool for clinicians and researchers in understanding the healthy and diseased eye. The micrometer-isotropic resolution achieved by such a system allows imaging of the retina at a cellular level, however imaging of some cell types remains elusive. Improvement in contrast rather than resolution is needed and can be achieved through better AO correction of wavefront aberration. A common tool for assessing and ultimately improving AO system performance is the development of an error budget. Specifically, this is a list of the magnitude of the constituent residual errors of an optical system so that resources can be directed towards efficient performance improvement. Here we present an error budget developed for the UC Davis AO-OCT instrument indicating that bandwidth and controller errors are the limiting errors of our AO system, which should be corrected first to improve performance. We also discuss the scaling of error sources for different subjects and the need to improve the robustness of the system by addressing subject variability.
机译:事实证明,将自适应光学(AO)技术与光学相干断层扫描(OCT)仪器相结合以对视网膜成像,对于临床医生和研究人员了解健康和患病的眼睛是一种有价值的工具。通过这样的系统实现的微米各向同性分辨率可以在细胞水平上对视网膜成像,但是某些细胞类型的成像仍然难以捉摸。需要改善对比度而不是分辨率,并且可以通过对波前像差进行更好的AO校正来实现。评估和最终改善AO系统性能的常用工具是制定错误预算。具体地,这是光学系统的组成残余误差的大小的列表,以便可以将资源用于有效的性能改善。在这里,我们介绍了为UC Davis AO-OCT仪器开发的误差预算,表明带宽和控制器误差是我们AO系统的极限误差,应首先进行校正以提高性能。我们还讨论了针对不同主题的错误源的缩放,以及通过解决主题可变性来提高系统鲁棒性的需求。

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