Reconstructing Fine Details of Small Objects by Using Plasmonic Spectroscopic Data

Matias Ruiz, Habib Ammari, Sanghyeon Yu, Hai Zhang

Research output: Contribution to journalArticlepeer-review


This paper is concerned with the inverse problem of reconstructing a small object from far-field measurements. The inverse problem is severely ill-posed because of the diffraction limit and low signal to noise ratio. We propose a novel methodology to solve this type of inverse problem based on an idea from plasmonic sensing. By using the field interaction with a known plasmonic particle, the fine detail information of the small object can be encoded into the shift of the resonant frequencies of the two particle system in the far field. In the intermediate interaction regime, we show that this information is exactly the generalized polarization tensors associated with the small object, from which one can perform the reconstruction. Our theoretical findings are supplemented by a variety of numerical results. The results in the paper also provide a mathematical foundation for plasmonic sensing.
Original languageEnglish
Pages (from-to)1-23
Number of pages23
Journal Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal
Issue number1
Early online date5 Jan 2018
Publication statusPublished - 30 Apr 2018


Dive into the research topics of 'Reconstructing Fine Details of Small Objects by Using Plasmonic Spectroscopic Data'. Together they form a unique fingerprint.

Cite this