Reaching high-resolution imaging of delicate samples at a low-intensity level is a major challenge in microscopy. Here, we present and experimentally implement an advanced quantum super-resolution imaging technique based on photon statistics measurement. Our reconstruction algorithm adapts to any kind of non-Poissonian emitters, outperforming the corresponding classical SOFI method, in particular in low-light conditions. It offers sub-diffraction resolution improvement that scales with the root j, where j is the highest-order central moments of the photocounts. More remarkably, we show that in combination with structured illumination, an improvement of j +root j can be reached, providing a promising avenue for non-invasive super-resolution microscopy. (c) 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Quantum super-resolution microscopy by photon statistics and structured light

Picariello F.
First
;
Losero E.;Ditalia Tchernij S.;Degiovanni I. P.
Last
2025-01-01

Abstract

Reaching high-resolution imaging of delicate samples at a low-intensity level is a major challenge in microscopy. Here, we present and experimentally implement an advanced quantum super-resolution imaging technique based on photon statistics measurement. Our reconstruction algorithm adapts to any kind of non-Poissonian emitters, outperforming the corresponding classical SOFI method, in particular in low-light conditions. It offers sub-diffraction resolution improvement that scales with the root j, where j is the highest-order central moments of the photocounts. More remarkably, we show that in combination with structured illumination, an improvement of j +root j can be reached, providing a promising avenue for non-invasive super-resolution microscopy. (c) 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
2025
12
4
490
497
https://opg.optica.org/optica/fulltext.cfm?uri=optica-12-4-490&id=569918
Picariello F.; Losero E.; Ditalia Tchernij S.; Boucher P.; Genovese M.; Ruo-Berchera I.; Degiovanni I.P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2074274
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