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Updated: Jun 21, 2026

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Highly-Multiplexed Tissue Imaging with Raman Dyes
Published on: April 21, 2022
Multiplexed imaging of surface enhanced Raman scattering nanotags in living mice using noninvasive Raman spectroscopy
Cristina L Zavaleta1, Bryan R Smith, Ian Walton
1Molecular Imaging Program, Department of Radiology and Bio-X Program, Stanford University School of Medicine, Stanford, CA 94305, USA.
Summary
This study shows Raman spectroscopy can identify multiple SERS nanoparticles in vivo. This noninvasive molecular imaging technique has potential for multiplexed diagnostics in living subjects.
Area of Science:
- Biomedical Engineering
- Molecular Imaging
- Spectroscopy
Background:
- Raman spectroscopy is an emerging noninvasive preclinical imaging technique.
- It offers high sensitivity and multiplexing capabilities for molecular imaging.
Purpose of the Study:
- To demonstrate Raman spectroscopy's ability to differentiate multiple surface-enhanced Raman scattering (SERS) nanoparticles in vivo.
- To assess the potential for multiplexed imaging in living subjects.
Main Methods:
- Raman spectroscopy was used to analyze up to 10 different SERS nanoparticles injected subcutaneously into a living mouse.
- Five spectrally unique SERS nanoparticles were injected intravenously to image liver accumulation.
- The system's ability to linearly correlate Raman signal with SERS nanoparticle concentration was evaluated.
Main Results:
- Spectral separation of up to 10 SERS nanoparticles was achieved after subcutaneous injection.
- Five intravenously injected SERS nanoparticles were successfully identified and spectrally separated in the liver.
- A strong linear correlation was observed between Raman signal and SERS concentration for both subcutaneous (R(2) = 0.998) and intravenous (R(2) = 0.992) injections.
Conclusions:
- Raman spectroscopy enables noninvasive multiplexed imaging of multiple SERS nanoparticles in living subjects.
- This technique holds significant potential for detecting multiple disease biomarkers simultaneously.
- Optimized Raman imaging systems can provide quantitative analysis of SERS nanoparticle distribution and concentration.

