RI-Insensitive Surface-enhanced Raman Spectroscopy (SERS) for Label-free Profiling and Classification of Living Cancer Cells

Wonil Nam; Xiang Ren; Seied Ali Safiabadi Tali; Parham Ghassemi; Inyoung Kim; Masoud Agah; Wei Zhou

doi:10.1364/CLEO_SI.2020.STh4R.4

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2020),
paper STh4R.4
•https://doi.org/10.1364/CLEO_SI.2020.STh4R.4

RI-Insensitive Surface-enhanced Raman Spectroscopy (SERS) for Label-free Profiling and Classification of Living Cancer Cells

Wonil Nam, Xiang Ren, Seied Ali Safiabadi Tali, Parham Ghassemi, Inyoung Kim, Masoud Agah, and Wei Zhou

CLEO: Science and Innovations 2020

Washington, DC United States
10–15 May 2020
ISBN: 978-1-943580-76-7

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Optofluidics and Flow Cytometry (STh4R)

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W. Nam, X. Ren, S. A. S. Tali, P. Ghassemi, I. Kim, M. Agah, and W. Zhou, "RI-Insensitive Surface-enhanced Raman Spectroscopy (SERS) for Label-free Profiling and Classification of Living Cancer Cells," in Conference on Lasers and Electro-Optics, OSA Technical Digest (Optica Publishing Group, 2020), paper STh4R.4.

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Abstract

Abstract: By supporting uniform arrays of hot spots with significant SERS enhancement factors (> 10⁷) insensitive to background refractive-index (RI) variations, nanolaminate plasmonic substrates can enable label-free molecular profiling and statistical classification of living cancer cells.

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