TY - GEN
T1 - Information Analysis for Quantum Imaging Optimization
AU - Mikhalychev, Alexander B.
AU - Karuseichyk, Ilya L.
AU - Vlasenko, Svetlana V.
AU - Bessire, Banz
AU - Lyakhov, Dmitry A.
AU - Michels, Dominik L.
AU - Stefanov, Andre
AU - Mogilevtsev, Dmitri S.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - Quantum imaging emerged quite recently as a breakthrough technology of overcoming the diffraction limit in microscopy and enhancement of optical resolution without the necessity to use hard radiation or perform scanning in the near field [1] , [2]. Both, the quantum imaging itself and the more 'classical' techniques inspired by it (for example, super-resolution optical fluctuations imaging - SOFI [3] ), rely on detection and analysis of photon (intensity) correlations. Typically, it is believed that the more correlated illuminating light is used and the higher order of the correlations is measured, the larger super-resolution can be achieved. That conclusion is based on efficient narrowing of the point-spread function, which, however, does not necessarily imply better resolution as the ability to reconstruct smaller features of the investigated object successfully.
AB - Quantum imaging emerged quite recently as a breakthrough technology of overcoming the diffraction limit in microscopy and enhancement of optical resolution without the necessity to use hard radiation or perform scanning in the near field [1] , [2]. Both, the quantum imaging itself and the more 'classical' techniques inspired by it (for example, super-resolution optical fluctuations imaging - SOFI [3] ), rely on detection and analysis of photon (intensity) correlations. Typically, it is believed that the more correlated illuminating light is used and the higher order of the correlations is measured, the larger super-resolution can be achieved. That conclusion is based on efficient narrowing of the point-spread function, which, however, does not necessarily imply better resolution as the ability to reconstruct smaller features of the investigated object successfully.
UR - https://www.scopus.com/pages/publications/85117594961
U2 - 10.1109/CLEO/Europe-EQEC52157.2021.9541952
DO - 10.1109/CLEO/Europe-EQEC52157.2021.9541952
M3 - Conference contribution
AN - SCOPUS:85117594961
T3 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
BT - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
Y2 - 21 June 2021 through 25 June 2021
ER -