Photonics (Nov 2024)

Dual-Wavelength Confocal Laser Speckle Contrast Imaging Using a Deep Learning Approach

  • E Du,
  • Haohan Zheng,
  • Honghui He,
  • Shiguo Li,
  • Cong Qiu,
  • Weifeng Zhang,
  • Guoqing Wang,
  • Xingquan Li,
  • Lan Ma,
  • Shuhao Shen,
  • Yuan Zhou

DOI
https://doi.org/10.3390/photonics11111085
Journal volume & issue
Vol. 11, no. 11
p. 1085

Abstract

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This study developed a novel dual-wavelength confocal laser speckle imaging platform. The system includes both visible and near-infrared lasers and two imaging modes: confocal and wide-field laser speckle contrast imaging. The experimental results confirm that the proposed system can be used to measure not only blood flow but also blood oxygen saturation. Additionally, we proposed a blood flow perfusion imaging method called BlingNet (a blood flow imaging CNN) based on the laser speckle contrast imaging technique and deep learning approach. Compared to the traditional nonlinear fitting method, this method has superior accuracy and robustness with higher imaging speed, making real-time blood flow imaging possible.

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