Off-axis quantitative phase imaging processing using CUDA: toward real-time applications
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA, and Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Biomed Opt Express. 2(7): 1781-1793, 2011
@article{pham2011off,
title={Off-axis quantitative phase imaging processing using CUDA: toward real-time applications},
author={Pham, H. and Ding, H. and Sobh, N. and Do, M. and Patel, S. and Popescu, G.},
journal={Biomedical Optics Express},
volume={2},
number={7},
pages={1781–1793},
year={2011},
publisher={Optical Society of America}
}
We demonstrate real time off-axis Quantitative Phase Imaging (QPI) using a phase reconstruction algorithm based on NVIDIA’s CUDA programming model. The phase unwrapping component is based on Goldstein’s algorithm. By mapping the process of extracting phase information and unwrapping to GPU, we are able to speed up the whole procedure by more than 18.8x with respect to CPU processing and ultimately achieve video rate for mega-pixel images. Our CUDA implementation also supports processing of multiple images simultaneously. This enables our imaging system to support high speed, high throughput, and real-time image acquisition and visualization.
October 27, 2011 by hgpu
