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Proceedings Paper

GPU acceleration towards real-time image reconstruction in 3D tomographic diffractive microscopy
Author(s): J. Bailleul; B. Simon; M. Debailleul; H. Liu; O. Haeberlé
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Paper Abstract

Phase microscopy techniques regained interest in allowing for the observation of unprepared specimens with excellent temporal resolution. Tomographic diffractive microscopy is an extension of holographic microscopy which permits 3D observations with a finer resolution than incoherent light microscopes. Specimens are imaged by a series of 2D holograms: their accumulation progressively fills the range of frequencies of the specimen in Fourier space. A 3D inverse FFT eventually provides a spatial image of the specimen. Consequently, acquisition then reconstruction are mandatory to produce an image that could prelude real-time control of the observed specimen. The MIPS Laboratory has built a tomographic diffractive microscope with an unsurpassed 130nm resolution but a low imaging speed - no less than one minute. Afterwards, a high-end PC reconstructs the 3D image in 20 seconds. We now expect an interactive system providing preview images during the acquisition for monitoring purposes. We first present a prototype implementing this solution on CPU: acquisition and reconstruction are tied in a producer-consumer scheme, sharing common data into CPU memory. Then we present a prototype dispatching some reconstruction tasks to GPU in order to take advantage of SIMDparallelization for FFT and higher bandwidth for filtering operations. The CPU scheme takes 6 seconds for a 3D image update while the GPU scheme can go down to 2 or > 1 seconds depending on the GPU class. This opens opportunities for 4D imaging of living organisms or crystallization processes. We also consider the relevance of GPU for 3D image interaction in our specific conditions.

Paper Details

Date Published: 2 May 2012
PDF: 15 pages
Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 843707 (2 May 2012); doi: 10.1117/12.922147
Show Author Affiliations
J. Bailleul, Univ. de Haute Alsace (France)
B. Simon, Univ. de Haute Alsace (France)
M. Debailleul, Univ. de Haute Alsace (France)
H. Liu, Univ. de Haute Alsace (France)
O. Haeberlé, Univ. de Haute Alsace (France)


Published in SPIE Proceedings Vol. 8437:
Real-Time Image and Video Processing 2012
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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