Scattering based hyperspectral imaging of plasmonic nanoplate clusters towards biomedical applications

Published

September 17, 2015

Author(s)

Aniruddha Ray, Raoul Kopelman, Bonghwan Chon, Kimberly A. Briggman, Jeeseong Hwang

Abstract

A new optical scattering contrast-agent based on polymer- nanoparticle encapsulated silver nanoplates (PESNs) is presented. Silver nanoplates were chosen due to the flexibility of tuning their plasmon frequencies. The polymer coating preserves their physical and optical properties and confers other advantages such as controlled contrast agent delivery. Finite difference time domain (FDTD) simulations model the interaction of light with the nanoplates in different orientations in the cluster. Hyperspectral dark field microscopy (HYDFM) observes the cattering spectra of the PESNs. An unsupervised sequential maximum angle convex cone (SMACC) image analysis resolves spectral endmembers corresponding to different stacking orientations of the nanoplates. The orientation- dependent endmembers qualitatively agree with the FDTD results. For contrast enhancement, the uptake and spatial distribution of PESNs are demonstrated by an HYDFM study of single melanoma cells to result in an enhanced contrast of up to 400%. A supervised spatial mapping of the endmembers obtained by the unsupervised SMACC algorithm reveals spatial distributions of PESNs with various clustering orientations of encapsulated nanoplates. Our study demonstrates tunability in plasmonics properties in clustered metal nanoparticles and its utility for the development of scatter-based imaging contrast agents for a broad range of applications, including studies of single cells and other biomedical systems.

Citation

Journal of Biophotonics

Pub Type

Journals

Keywords

Hyperspectral Imaging, Dark Field Imaging, Nanoplates, Clusters, Cancer cells, FDTD simulation

Citation

Ray, A. , Kopelman, R. , Chon, B. , Briggman, K. and Hwang, J. (2015), Scattering based hyperspectral imaging of plasmonic nanoplate clusters towards biomedical applications, Journal of Biophotonics (Accessed December 3, 2024)