Shimobaba Tomoyoshi, Sato Yoshikuni, Miura Junya, Takenouchi Mai, Ito Tomoyoshi
Graduate School of Science and Engineering, Yamagata University, Jonan 4-3-16, Yonezawa-City, Yamagata 992-8510, Japan.
Opt Express. 2008 Aug 4;16(16):11776-81. doi: 10.1364/oe.16.011776.
Digital holographic microscopy (DHM) is a well-known powerful method allowing both the amplitude and phase of a specimen to be simultaneously observed. In order to obtain a reconstructed image from a hologram, numerous calculations for the Fresnel diffraction are required. The Fresnel diffraction can be accelerated by the FFT (Fast Fourier Transform) algorithm. However, real-time reconstruction from a hologram is difficult even if we use a recent central processing unit (CPU) to calculate the Fresnel diffraction by the FFT algorithm. In this paper, we describe a real-time DHM system using a graphic processing unit (GPU) with many stream processors, which allows use as a highly parallel processor. The computational speed of the Fresnel diffraction using the GPU is faster than that of recent CPUs. The real-time DHM system can obtain reconstructed images from holograms whose size is 512 x 512 grids in 24 frames per second.
数字全息显微镜(DHM)是一种众所周知的强大方法,它能够同时观察标本的振幅和相位。为了从全息图获得重建图像,需要对菲涅耳衍射进行大量计算。菲涅耳衍射可以通过快速傅里叶变换(FFT)算法加速。然而,即使使用最新的中央处理器(CPU)通过FFT算法计算菲涅耳衍射,从全息图进行实时重建也很困难。在本文中,我们描述了一种使用具有多个流处理器的图形处理单元(GPU)的实时DHM系统,该系统可作为高度并行处理器使用。使用GPU进行菲涅耳衍射的计算速度比最新的CPU更快。该实时DHM系统能够以每秒24帧的速度从大小为512×512网格的全息图中获得重建图像。