Graphics processing unit-based quantitative second-harmonic generation imaging.


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.

DOI: 10.1117/1.JBO.19.9.096009

12 Figures and Tables

Cite this paper

@article{Kabir2014GraphicsPU, title={Graphics processing unit-based quantitative second-harmonic generation imaging.}, author={Mohammad M Kabir and A S M Jonayat and Sanjay J. Patel and Kimani C. Toussaint}, journal={Journal of biomedical optics}, year={2014}, volume={19 9}, pages={96009} }