Open Access
13 July 2012 Filter-based method for background removal in high-sensitivity wide-field-surface-enhanced Raman scattering imaging in vivo
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Abstract
As molecular imaging moves towards lower detection limits, the elimination of endogenous background signals becomes imperative. We present a facile background-suppression technique that specifically segregates the signal from surface-enhanced Raman scattering (SERS)-active nanoparticles (NPs) from the tissue autofluorescence background in vivo. SERS NPs have extremely narrow spectral peaks that do not overlap significantly with endogenous Raman signals. This can be exploited, using specific narrow-band filters, to image picomolar (pM) concentrations of NPs against a broad tissue autofluorescence background in wide-field mode, with short integration times that compare favorably with point-by-point mapping typically used in SERS imaging. This advance will facilitate the potential applications of SERS NPs as contrast agents in wide-field multiplexed biomarker-targeted imaging in vivo.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Rupananda Mallia, Israel Veilleux, Brian C. Wilson, and Patrick McVeigh "Filter-based method for background removal in high-sensitivity wide-field-surface-enhanced Raman scattering imaging in vivo," Journal of Biomedical Optics 17(7), 076017 (13 July 2012). https://doi.org/10.1117/1.JBO.17.7.076017
Published: 13 July 2012
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CITATIONS
Cited by 24 scholarly publications.
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KEYWORDS
Nanoparticles

In vivo imaging

Image filtering

Molecules

Raman spectroscopy

Optical filters

Tissues

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