15 September 2014 Graphics processing unit-based quantitative second-harmonic generation imaging
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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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Mohammad M. Kabir, Mohammad M. Kabir, A. S. M. Jonayat, A. S. M. Jonayat, Sanjay Patel, Sanjay Patel, Kimani C. Toussaint, Kimani C. Toussaint, } "Graphics processing unit-based quantitative second-harmonic generation imaging," Journal of Biomedical Optics 19(9), 096009 (15 September 2014). https://doi.org/10.1117/1.JBO.19.9.096009 . Submission:
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