Accelerating digital holographic de-convolution microscopy using CUDA's nested concurrency

Zulfiqar Ali; Mei-Lan Piao; Jae-Hyeung Park; Nam Kim

doi:10.1117/12.873658

7 February 2011 Accelerating digital holographic de-convolution microscopy using CUDA's nested concurrency

Zulfiqar Ali, Mei-Lan Piao, Jae-Hyeung Park, Nam Kim

Proceedings Volume 7957, Practical Holography XXV: Materials and Applications; 795705 (2011) https://doi.org/10.1117/12.873658
Event: SPIE OPTO, 2011, San Francisco, California, United States

Abstract

In this study we have exploited the parallel nature of the computations involved in the process of numerical volume reconstruction of three-dimensional digital holographic microscopy and utilized CUDA enabled graphics processing unit (GPU) to accelerate the reconstruction process. We have recorded holograms of the 3D specimen using CCD with inline setup, then using GPU we have initiated CUDA kernels for de-convolution of the diffraction integral for multiple depth planes in parallel, speeding up the reconstruction of the entire volume. Our experimental results confirm that GPU reconstruction is much faster than that of central processing unit (CPU).

Citation Download Citation

Zulfiqar Ali, Mei-Lan Piao, Jae-Hyeung Park, and Nam Kim "Accelerating digital holographic de-convolution microscopy using CUDA's nested concurrency", Proc. SPIE 7957, Practical Holography XXV: Materials and Applications, 795705 (7 February 2011); https://doi.org/10.1117/12.873658

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