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Journal of Biomedical Optics

Graphics processing unit-based quantitative second-harmonic generation imaging
Author(s): Mohammad M. Kabir; A. S. M. Jonayat; Sanjay Patel; Kimani C. Toussaint
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Paper Abstract

We adapt a graphics processing unit (GPU) to dynamic quantitative second-harmonic generation imaging. We demonstrate the temporal advantage of the GPU-based approach by computing the number of frames analyzed per second from SHG image videos showing varying fiber orientations. In comparison to our previously reported CPU-based approach, our GPU-based image analysis results in ∼10× improvement in computational time. This work can be adapted to other quantitative, nonlinear imaging techniques and provides a significant step toward obtaining quantitative information from fast in vivo biological processes.

Paper Details

Date Published: 15 September 2014
PDF: 8 pages
J. Biomed. Opt. 19(9) 096009 doi: 10.1117/1.JBO.19.9.096009
Published in: Journal of Biomedical Optics Volume 19, Issue 9
Show Author Affiliations
Mohammad M. Kabir, Univ. of Illinois at Urbana-Champaign (United States)
A. S. M. Jonayat, Univ. of Illinois at Urbana-Champaign (United States)
Sanjay Patel, Univ. of Illinois at Urbana-Champaign (United States)
Kimani C. Toussaint, Univ. of Illinois at Urbana-Champaign (United States)


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