Machine learning assisted quantum super-resolution microscopy

Zhaxylyk A. Kudyshev; Demid Sychev; Zachariah Martin; Simeon Bogdanov; Xiaohui Xu; Alexander V. Kildishev; Alexandra Boltasseva; Vladimir M. Shalaev

Machine learning assisted quantum super-resolution microscopy

Zhaxylyk A. Kudyshev, Demid Sychev, Zachariah Martin, Simeon Bogdanov, Xiaohui Xu, Alexander V. Kildishev, Alexandra Boltasseva, Vladimir M. Shalaev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A machine learning assisted framework significantly speeds up image acquisition in super-resolution microscopy based on photon antibunching. The technique is compatible with a CW excitation regime and applicable to a wide range of quantum emitters.

Original language	English (US)
Title of host publication	2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580910
State	Published - May 2021
Event	2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States Duration: May 9 2021 → May 14 2021

Publication series

Name	2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Conference

Conference	2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/Territory	United States
City	Virtual, Online
Period	5/9/21 → 5/14/21

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Instrumentation
Atomic and Molecular Physics, and Optics

Library availability

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Kudyshev, Z. A., Sychev, D., Martin, Z., Bogdanov, S., Xu, X., Kildishev, A. V., Boltasseva, A., & Shalaev, V. M. (2021). Machine learning assisted quantum super-resolution microscopy. In 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings (2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

Machine learning assisted quantum super-resolution microscopy. / Kudyshev, Zhaxylyk A.; Sychev, Demid; Martin, Zachariah et al.
2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kudyshev, ZA, Sychev, D, Martin, Z, Bogdanov, S, Xu, X, Kildishev, AV, Boltasseva, A & Shalaev, VM 2021, Machine learning assisted quantum super-resolution microscopy. in 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 Conference on Lasers and Electro-Optics, CLEO 2021, Virtual, Online, United States, 5/9/21.

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title = "Machine learning assisted quantum super-resolution microscopy",

abstract = "A machine learning assisted framework significantly speeds up image acquisition in super-resolution microscopy based on photon antibunching. The technique is compatible with a CW excitation regime and applicable to a wide range of quantum emitters.",

author = "Kudyshev, {Zhaxylyk A.} and Demid Sychev and Zachariah Martin and Simeon Bogdanov and Xiaohui Xu and Kildishev, {Alexander V.} and Alexandra Boltasseva and Shalaev, {Vladimir M.}",

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AU - Sychev, Demid

AU - Martin, Zachariah

AU - Bogdanov, Simeon

AU - Xu, Xiaohui

AU - Kildishev, Alexander V.

AU - Boltasseva, Alexandra

AU - Shalaev, Vladimir M.

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N2 - A machine learning assisted framework significantly speeds up image acquisition in super-resolution microscopy based on photon antibunching. The technique is compatible with a CW excitation regime and applicable to a wide range of quantum emitters.

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M3 - Conference contribution

AN - SCOPUS:85120495135

T3 - 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

BT - 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 Conference on Lasers and Electro-Optics, CLEO 2021

Y2 - 9 May 2021 through 14 May 2021

ER -

Machine learning assisted quantum super-resolution microscopy

Abstract

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ASJC Scopus subject areas

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