4.6 Article

Off-axis quantitative phase imaging processing using CUDA: toward real-time applications

Journal

BIOMEDICAL OPTICS EXPRESS
Volume 2, Issue 7, Pages 1781-1793

Publisher

OPTICAL SOC AMER
DOI: 10.1364/BOE.2.001781

Keywords

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Funding

  1. National Science Foundation [CBET 08-46660 CAREER, CBET-1040462 MRI]
  2. National Cancer Institute [R21 CA147967-01]
  3. Div Of Chem, Bioeng, Env, & Transp Sys
  4. Directorate For Engineering [0846660, 1040462] Funding Source: National Science Foundation

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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. (C) 2011 Optical Society of America

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