Information Analysis for Quantum Imaging Optimization

Alexander B. Mikhalychev, Ilya L. Karuseichyk, Svetlana V. Vlasenko, Banz Bessire, Dmitry Lyakhov, Dominik L. Michels, Andre Stefanov, Dmitri S. Mogilevtsev

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish (US)
Title of host publication2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)
ISBN (Print)9781665418768
StatePublished - Jun 21 2021


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