Cited by 133Spectroscopy Techniques in Biomedical and Chemical ResearchGold and Silver Nanoparticles Synthesis and ApplicationsOptical Imaging and Spectroscopy Techniques

A small animal Raman instrument for rapid, wide-area, spectroscopic imaging

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Bohndiek, Sarah E., Wagadarikar, Ashwin, Zavaleta, Cristina L., Van de Sompel, Dominique, Garai, Ellis, Jokerst, Jesse V., Yazdanfar, Siavash, Gambhir, Sanjiv S.·2013·Proceedings of the National Academy of Sciences

Abstract

Raman spectroscopy, amplified by surface enhanced Raman scattering (SERS) nanoparticles, is a molecular imaging modality with ultra-high sensitivity and the unique ability to multiplex readouts from different molecular targets using a single wavelength of excitation. This approach holds exciting prospects for a range of applications in medicine, including identification and characterization of malignancy during endoscopy and intraoperative image guidance of surgical resection. The development of Raman molecular imaging with SERS nanoparticles is presently limited by long acquisition times, poor spatial resolution, small field of view, and difficulty in animal handling with existing Raman spectroscopy instruments. Our goal is to overcome these limitations by designing a bespoke instrument for Raman molecular imaging in small animals. Here, we present a unique and dedicated small-animal Raman imaging instrument that enables rapid, high-spatial resolution, spectroscopic imaging over a wide field of view (> 6 cm 2 ), with simplified animal handling. Imaging of SERS nanoparticles in small animals demonstrated that this small animal Raman imaging system can detect multiplexed SERS signals in both superficial and deep tissue locations at least an order of magnitude faster than existing systems without compromising sensitivity.

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Crossref · 10.1073/pnas.1301379110

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  • With modern laser and sensor technology and selective enhancement of SERS NP reporter molecules' Raman scattering over background intrinsic scattering, multiple SERS NP types can be rapidly and quantitatively detected in a single Raman hyperspectral image.

    “With modern laser and sensor technology and the selective enhancement of SERS NP reporter molecules’ Raman scattering over any background intrinsic scattering, we can rapidly and quantitatively detect the spatial distribution of multiple SERS NP types, or flavors, in a single Raman hyperspectral image.10,13,14”

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Authors
Bohndiek, S. E., Wagadarikar, A., Zavaleta, C. L., Van de Sompel, D., Garai, E., Jokerst, J. V., Yazdanfar, S., & Gambhir, S. S.
Affiliations
  • Stanford Medicine (US)
  • General Electric (United States) (US)
  • Bio-X Program and Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA 94305; and
Corresponding author
Gambhir, Sanjiv S.
Venue
Proceedings of the National Academy of Sciences
Published
2013-07-02
Volume
110
Issue
30
Pages
12408-12413
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2165712367
Cited by
133
References
20
Citations by year
2026: 2 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 11 · 2021: 14 · 2020: 16 · 2019: 9 · 2018: 11 · 2017: 18 · 2016: 16 · 2015: 14 · 2014: 10 · 2013: 1
FWCI
8.29
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • National Cancer Institute (CA151459, U54CA151459)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Keywords
Raman imaging, high spatial resolution, endoscopic cancer detection, intraoperative image guidance, animal handling
MeSH terms
Animals, Female, Mice, Nude, Spectrum Analysis, Raman, Mice

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