Litcius/Paper detail

Quantum super-resolution microscopy by photon statistics and structured light

Fabio Picariello, Elena Losero, S. Ditalia Tchernij, Pauline Boucher, Marco Genovese, Ivano Ruo Berchera, Ivo Pietro Degiovanni

2025Optica10 citationsDOIOpen Access PDF

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 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 + j can be reached, providing a promising avenue for non-invasive super-resolution microscopy.

Topics & Concepts

MicroscopyPhotonPhoton statisticsResolution (logic)QuantumPhysicsTwo-photon excitation microscopyOpticsStatisticsSuper-resolution microscopyQuantum mechanicsMathematicsComputer scienceArtificial intelligenceScanning confocal electron microscopyFluorescenceAdvanced Fluorescence Microscopy TechniquesPhotoacoustic and Ultrasonic ImagingOptical Coherence Tomography Applications
Quantum super-resolution microscopy by photon statistics and structured light | Litcius