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

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

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 meas...

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Bibliographic Details
Main Authors: E Du, Haohan Zheng, Honghui He, Shiguo Li, Cong Qiu, Weifeng Zhang, Guoqing Wang, Xingquan Li, Lan Ma, Shuhao Shen, Yuan Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Photonics
Subjects:
laser speckle
blood flow
hemoglobin oxygen saturation
confocal
deep learning
Online Access:https://www.mdpi.com/2304-6732/11/11/1085
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Summary: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.
ISSN:2304-6732

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