Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification

Omry Blum; Natan T Shaked

doi:10.1038/lsa.2015.95

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Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification

Original Articles

- Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification
- Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification
- LSA 2015年4卷第3期
- Affiliations：
  
  Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel
- Author bio：
  
  NT Shaked, Email: nshaked@tau.ac.il
- Funds：
- DOI：10.1038/lsa.2015.95
  中图分类号：
- 纸质出版日期：2015-09，
  
  网络出版日期：2015-04-13，
  
  收稿日期：2014-12-17，
  
  修回日期：2015-04-06，
  
  录用日期：2015-04-12
- Accepted：
Scan QR Code
Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification[J]. LSA, 2015,4(3).

Blum, O. & Shaked, N. T. Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification. Light: Science & Applications, 4, e322 (2015).
Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification[J]. LSA, 2015,4(3). DOI： 10.1038/lsa.2015.95.

Blum, O. & Shaked, N. T. Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification. Light: Science & Applications, 4, e322 (2015). DOI： 10.1038/lsa.2015.95.

摘要

Abstract

We present a new approach for predicting spatial phase signals originating from photothermally excited metallic nanoparticles of arbitrary shapes and sizes. The heat emitted from such a nanoparticle affects the measured optical phase signal via changes in both the refractive index and thickness of the nanoparticle surroundings. Because these particles can be bio-functionalized to bind certain biological cell components

they can be used for biomedical imaging with molecular specificity

as new nanoscopy labels

and for photothermal therapy. Predicting the ideal nanoparticle parameters requires a model that computes the thermal and phase distributions around the particle

thereby enabling more efficient phase imaging of plasmonic nanoparticles and avoiding trial-and-error experiments while using unsuitable nanoparticles. The proposed nonlinear model is the first to enable the prediction of phase signatures from nanoparticles with arbitrary parameters. The model is based on a finite-volume method for geometry discretization and an implicit backward Euler method for solving the transient inhomogeneous heat equation

followed by calculation of the accumulative phase signal. To validate the model

we compared its results with experimental results obtained for gold nanorods of various concentrations

which we acquired using a custom-built wide-field interferometric phase microscopy system.

关键词

Keywords

digital holographic microscopyinterferometric imagingnanoparticlesphase measurementplasmonics

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