TY - GEN
T1 - Machine learning assisted quantum super-resolution microscopy
AU - Kudyshev, Zhaxylyk A.
AU - Sychev, Demid
AU - Martin, Zachariah
AU - Bogdanov, Simeon
AU - Xu, Xiaohui
AU - Kildishev, Alexander V.
AU - Boltasseva, Alexandra
AU - Shalaev, Vladimir M.
N1 - Publisher Copyright:
© 2021 OSA.
PY - 2021/5
Y1 - 2021/5
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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85120495135&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120495135&partnerID=8YFLogxK
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 -