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Proceedings Paper

Accelerating digital holographic de-convolution microscopy using CUDA's nested concurrency
Author(s): Zulfiqar Ali; Mei-Lan Piao; Jae-Hyeung Park; Nam Kim
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Paper 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).

Paper Details

Date Published: 7 February 2011
PDF: 7 pages
Proc. SPIE 7957, Practical Holography XXV: Materials and Applications, 795705 (7 February 2011); doi: 10.1117/12.873658
Show Author Affiliations
Zulfiqar Ali, Chungbuk National Univ. (Korea, Republic of)
Mei-Lan Piao, Chungbuk National Univ. (Korea, Republic of)
Jae-Hyeung Park, Chungbuk National Univ. (Korea, Republic of)
Nam Kim, Chungbuk National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7957:
Practical Holography XXV: Materials and Applications
Hans I. Bjelkhagen, Editor(s)

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