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 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.
Authors
- Shiguo Li (ORCID: https://orcid.org/0000-0002-1578-8844)
- Shuhao Shen (ORCID: https://orcid.org/0000-0002-9474-8639)
- E Du (ORCID: https://orcid.org/0000-0002-2852-2201)
- Honghui He (ORCID: https://orcid.org/0000-0001-7369-7433)
- Lan Ma (ORCID: https://orcid.org/0000-0003-1929-6422)
- Xingquan Li
- Guoqing Wang (ORCID: https://orcid.org/0000-0002-8505-9401)
- Weifeng Zhang (ORCID: https://orcid.org/0000-0003-1336-771X)
- Yuan Zhou (ORCID: https://orcid.org/0000-0002-3598-958X)
- Cong Qiu
- Hongyu Zheng (ORCID: https://orcid.org/0000-0002-4895-0617)
Institutions
- Xidian University (CN)
- Shenzhen Institute of Information Technology (CN)
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Southern Medical University Shenzhen Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Photonics
- Published
- 2024-11-18
- DOI
- https://doi.org/10.3390/photonics11111085
- Citations
- 8
- Primary Topic
- Thermoregulation and physiological responses
- Type
- article
- Field-Weighted Citation Impact
- 2.61
Funders
- Shenzhen University
- Department of Education of Guangdong Province