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, James H. Edgar, Jason W. Fleischer, D. N. Basov, Joshua D. Caldwell

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


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 h11BN provides significant improvements in spatial resolution, experimentally resolving structures as small as 44 nm and those with sub 25 nm spacings at 6.76 μm 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.

Original languageEnglish (US)
Pages (from-to)7921-7928
Number of pages8
JournalNano Letters
Issue number19
StatePublished - Oct 13 2021

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Mechanical Engineering
  • Bioengineering
  • General Chemistry
  • General Materials Science


  • hyperbolic media
  • hyperlens
  • reconstruction algorithm
  • super-resolution


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