Metamaterials, deep learning and optical super-resolution
Metamaterials, deep learning and optical super-resolution
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.
Zheludev, Nikolai
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Pu, Tanchao
89eb5a37-31bf-469a-ae29-c871d5d25c65
Yuan, Guanghui
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Ou, Jun-Yu
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Savinov, Vassili
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Papasimakis, Nikitas
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24 August 2020
Zheludev, Nikolai
32fb6af7-97e4-4d11-bca6-805745e40cc6
Pu, Tanchao
89eb5a37-31bf-469a-ae29-c871d5d25c65
Yuan, Guanghui
d7af6f06-7da9-41ef-b7f9-cfe09e55fcaa
Ou, Jun-Yu
3fb703e3-b222-46d2-b4ee-75f296d9d64d
Savinov, Vassili
147c7954-4636-4438-a305-cd78539f7c0a
Papasimakis, Nikitas
f416bfa9-544c-4a3e-8a2d-bc1c11133a51
Zheludev, Nikolai, Pu, Tanchao, Yuan, Guanghui, Ou, Jun-Yu, Savinov, Vassili and Papasimakis, Nikitas
(2020)
Metamaterials, deep learning and optical super-resolution.
SPIE Optics & Photonics Digital Forum 2020.
24 - 28 Aug 2020.
Record type:
Conference or Workshop Item
(Other)
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.
Text
Metamaterials, deep learning and optical super-resolution
- Other
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Published date: 24 August 2020
Venue - Dates:
SPIE Optics & Photonics Digital Forum 2020, 2020-08-24 - 2020-08-28
Identifiers
Local EPrints ID: 441486
URI: http://eprints.soton.ac.uk/id/eprint/441486
PURE UUID: 899b164a-4eb2-4443-9270-8ebb821f2d05
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Date deposited: 15 Jun 2020 16:31
Last modified: 21 Nov 2024 05:02
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