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Ultrahigh-Resolution, Label-Free Hyperlens Imaging in the Mid-IR
Nano Letters ( IF 9.6 ) Pub Date : 2021-09-17 , DOI: 10.1021/acs.nanolett.1c01808
Mingze He 1 , Ganjigunte R S Iyer 2, 3 , Shaurya Aarav 4 , Sai S Sunku 5 , Alexander J Giles 3 , Thomas G Folland 1, 6 , Nicholas Sharac 2 , Xiaohang Sun 4 , Joseph Matson 1 , Song Liu 7 , James H Edgar 7 , Jason W Fleischer 4 , D N Basov 5 , Joshua D Caldwell 1
Affiliation  

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.

中文翻译:

中红外波段的超高分辨率、无标记 Hyperlens 成像

在具有长散射寿命的六方氮化硼 (hBN) 中支持的双曲声子极化子有利于通过超透镜进行超分辨率成像等应用。然而,hyperlens 成像对于区分单个和紧密间隔的物体以及将复杂的 hyperlens 场与下方未知物体的结构关联起来具有挑战性。在这里,我们在克服这些挑战方面取得了重大进展。首先,我们证明单同位素 h 11BN 显着提高了空间分辨率,在实验上分辨了小至 44 nm 的结构和在 6.76 μm 自由空间波长下具有亚 25 nm 间距的结构。我们还提出了一种图像重建算法,该算法提供了来自复杂 hyperlens 领域的嵌入对象的结构准确的视觉表示。此外,我们还提供了基于材料特性优化 hyperlens 性能的额外见解,着眼于实现远场成像模式。因此,我们的结果显着推进了无标签、高分辨率、光谱选择性超透镜成像和图像重建方法。
更新日期:2021-10-13
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