论文标题
通过主要成分分析的视网膜实时数字全息图
Real-time digital holography of the retina by principal component analysis
论文作者
论文摘要
我们通过快速相机和商品计算机硬件实时证明了人类视网膜高质量的数字全息图的可行性。通过将全息图序列投影到数据衍生的基础上，从光学上获得的数字菲涅尔全息干涉图对数字领线全息图进行了高吞吐量，以区分局部窄带相干检测对比，主要是由于血液流动和光学吸收，并受到杂种的作用。数字全息图是根据16位，1024 by-1024像素干扰图的持续输入流计算得出的，每秒最多500帧记录，并通过主成分分析处理。该时间信号解调方案包括32个连续全息图的堆栈投影，该基础是通过其时间滞后协方差的矩阵来计算的基础；使用商品计算机硬件每秒最多执行20次。
We demonstrate the feasibility of high-quality digital holography of the human retina in real-time with a fast camera and commodity computer hardware. High throughput rendering of digital Fresnel holograms from optically-acquired inline interferograms is performed in conjunction with temporal demodulation by projection of hologram sequences onto a data-derived basis in order to discriminate local narrowband coherent detection contrasts, mostly due to blood flow and optical absorption, from spurious interferometric contributions. Digital holograms are calculated from a sustained input stream of 16-bit, 1024-by-1024-pixel interferograms recorded at up to 500 frames per second, processed by principal component analysis. This temporal signal demodulation scheme consists in the projection of stacks of 32 consecutive holograms onto a basis calculated by eigendecomposition of the matrix of their time-lagged covariance; it is performed up to 20 times per second with commodity computer hardware.
