The impact of natural modes in plasmonic imaging

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
135 Downloads (Pure)

Abstract

Plasmonic imaging is crucial for understanding cellular behaviours for biological sciences, where is used to image and track organelles in cells, such as DNA and virus molecules. Due to the fast dynamics of the intra-cellular processes, it is essential to keep the cells under their native states (i.e. label-free), establishing plasmonic imaging as one of the most powerful tools for studying biological samples. In this article, a theoretical model is presented that accurately predicts the properties of a plasmonic image, paving the route towards the characterization of an imaged nano-object. It is shown that natural modes are not only excited, but actually dominate the intensity and shape of the observed plasmonic image. Hence, the proposed model explains the dynamics forming the plasmonic image and can be used to extract spectroscopy information from current plasmonic imaging techniques.
Original languageEnglish
Article number18247
JournalScientific Reports
Volume5
Early online date16 Dec 2015
DOIs
Publication statusE-pub ahead of print - 16 Dec 2015

Fingerprint

Dive into the research topics of 'The impact of natural modes in plasmonic imaging'. Together they form a unique fingerprint.

Cite this