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

Hoa Pham, Huafeng Ding, Nahil Sobh, Minh Do, Sanjay Patel, Gabriel Popescu

Research output: Contribution to journalArticlepeer-review


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 18.8× 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.

Original languageEnglish (US)
Pages (from-to)1781-1793
Number of pages13
JournalBiomedical Optics Express
Issue number7
StatePublished - 2011

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics


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