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| File | Dimensione | Formato | |
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optica-12-4-490.pdf
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