Graphics processing unit-based quantitative second-harmonic generation imaging

Mohammad Mahfuzul Kabir, Asm Jonayat, Sanjay Patel, Kimani C. Toussaint

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article number096009
JournalJournal of biomedical optics
Issue number9
StatePublished - Sep 1 2014


  • Graphics processing unit
  • Image analysis
  • Quantitative imaging
  • Second-harmonic generation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biomaterials
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics


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