Metamaterials, deep learning, and optical super-resolution (Conference Presentation)

Nikolay I. Zheludev; Tanchao Pu; Guanghui Yuan; Jun Yu Ou; Vassili Savinov; Nikitas Papasimakis

doi:10.1117/12.2568743

23 August 2020 Metamaterials, deep learning, and optical super-resolution (Conference Presentation)

Nikolay I. Zheludev, Tanchao Pu, Guanghui Yuan, Jun Yu Ou, Vassili Savinov, Nikitas Papasimakis

Proceedings Volume 11460, Metamaterials, Metadevices, and Metasystems 2020; 114601A (2020) https://doi.org/10.1117/12.2568743
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

We introduce a non-intrusive far-field optical microscopy, which reveals the fine structure of an object through its far-field scattering pattern under illumination with topologically structured light containing deeply subwavelength singularity features. The object is reconstructed by a neural network trained on a large number of scattering events. We demonstrate resolving powers two orders of magnitude beyond the conventional “diffraction limit” of λ/2.

Conference Presentation

Citation Download Citation

Nikolay I. Zheludev, Tanchao Pu, Guanghui Yuan, Jun Yu Ou, Vassili Savinov, and Nikitas Papasimakis "Metamaterials, deep learning, and optical super-resolution (Conference Presentation)", Proc. SPIE 11460, Metamaterials, Metadevices, and Metasystems 2020, 114601A (23 August 2020); https://doi.org/10.1117/12.2568743

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