The impact of natural modes in plasmonic imaging
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Accepted version
Published version
Author(s)
Demetriadou, A
Type
Journal Article
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.
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.
Date Issued
2015-12-16
Date Acceptance
2015-11-16
Citation
Scientific Reports, 2015, 5
ISSN
2045-2322
Publisher
Nature Publishing Group
Journal / Book Title
Scientific Reports
Volume
5
Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 International License. The images
or other third party material in this article are included in the article’s Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/
or other third party material in this article are included in the article’s Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/
License URL
Sponsor
Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Grant Number
280478
EP/L02098X/1
Publication Status
Published
Article Number
18247