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Updated: Aug 2, 2026

Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
Published on: March 8, 2013
Sentinel lymph node identification using NIR-II ultrabright Raman nanotags on preclinical models
Binge Deng1, Yan Wang2, Xiangdong Bu3
1State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China; Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, PR China.
New Surface-enhanced Raman spectroscopy (SERS) nanotags offer ultrahigh sensitivity for sentinel lymph node (SLN) imaging. These near-infrared II (NIR-II) SERS nanotags demonstrate safety and efficacy in large animal models, paving the way for clinical use.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Optical Imaging
Background:
- Surface-enhanced Raman spectroscopy (SERS) nanotags show promise as highly sensitive bioimaging agents.
- Clinical translation of SERS nanotags is hindered by biological and laser safety concerns.
- Sentinel lymph node (SLN) mapping is crucial for cancer staging and treatment planning.
Purpose of the Study:
- To develop and evaluate novel core-shell SERS nanotags for SLN identification.
- To assess the safety and efficacy of these nanotags in pre-clinical large animal models.
- To demonstrate intraoperative SERS-guided SLN navigation using clinically safe laser parameters.
Main Methods:
- Fabrication of core-shell SERS nanotags with ultrahigh brightness (1 pM LOD) operating in the NIR-II window.
- In vivo imaging and evaluation in rabbit and non-human primate models.
- Assessment of biosafety through systematic examinations and laser safety analysis.
Main Results:
- Achieved ultrahigh sensitivity (1 pM LOD) with NIR-II SERS nanotags.
- Successfully demonstrated intraoperative SERS-guided SLN navigation in a non-human primate.
- Identified multiple axillary SLNs using a clinically safe laser (1.73 J/cm²).
- Observed no evidence of biosafety issues in systematic examinations.
Conclusions:
- NIR-II SERS nanotags are effective and safe for SLN identification in pre-clinical models.
- This technology advances SERS-based tracer techniques for accurate lesion localization.
- The study supports the clinical translation potential of SERS nanotags for SLN mapping.

