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Ultrahigh-Resolution, Label-Free Hyperlens Imaging in the Mid-IR
Journal article   Open access   Peer reviewed

Ultrahigh-Resolution, Label-Free Hyperlens Imaging in the Mid-IR

Mingze He, Ganjigunte R. S. Iyer, Shaurya Aarav, Sai S. Sunku, Alexander J. Giles, Thomas G. Folland, Nicholas Sharac, Xiaohang Sun, Joseph Matson, Song Liu, …
Nano letters, Vol.21(19), pp.7921-7928
10/13/2021
DOI: 10.1021/acs.nanolett.1c01808
PMID: 34534432
url
https://www.osti.gov/biblio/1857076View
Open Access

Abstract

The hyperbolic phonon polaritons supported in hexagonal boron nitride (hBN) with long scattering lifetimes are advantageous for applications such as super-resolution imaging via hyperlensing. Yet, hyperlens imaging is challenging for distinguishing individual and closely spaced objects and for correlating the complicated hyperlens fields with the structure of an unknown object underneath. Here, we make significant strides to overcome each of these challenges. First, we demonstrate that monoisotopic h(11)BN provides significant improvements in spatial resolution, experimentally resolving structures as small as 44 nm and those with sub 25 nm spacings at 6.76 mu m free-space wavelength. We also present an image reconstruction algorithm that provides a structurally accurate, visual representation of the embedded objects from the complex hyperlens field. Further, we offer additional insights into optimizing hyperlens performance on the basis of material properties, with an eye toward realizing far-field imaging modalities. Thus, our results significantly advance label-free, high-resolution, spectrally selective hyperlens imaging and image reconstruction methodologies.
Chemistry Chemistry, Multidisciplinary Chemistry, Physical Materials Science Materials Science, Multidisciplinary Nanoscience & Nanotechnology Physical Sciences Physics Physics, Applied Physics, Condensed Matter Science & Technology Science & Technology - Other Topics Technology

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