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Quantifying particle concentration via AI-enhanced optical coherence tomography.

Siqi YeLei XingDavid MyungFang Chen
Published in: Nanoscale (2024)
Efficient and robust quantification of the number of nanoparticles in solution is not only essential but also insufficient in nanotechnology and biomedical research. This paper proposes to use optical coherence tomography (OCT) to quantify the number of gold nanorods, which exemplify the nanoparticles with high light scattering signals. Additionally, we have developed an AI-enhanced OCT image processing to improve the accuracy and robustness of the quantification result.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • artificial intelligence
  • optic nerve
  • deep learning
  • machine learning
  • silver nanoparticles