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arXiv · 2408.11654

Quantum super-resolution microscopy by photon statistics and structured light

Fabio Picariello·Elena Losero·Sviatoslav Ditalia Tchernij·Pauline Boucher·Marco Genovese·Ivano Ruo-Berchera·Ivo Pietro Degiovanni
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Abstract

We present an advanced quantum super-resolution imaging technique based on photon statistics measurement and its accurate modeling. Our reconstruction algorithm adapts to any kind of non-Poissonian emitters, outperforming the corresponding classical SOFI method. It offers sub-diffraction resolution improvement that scales with the $\sqrt{j}$, where $j$ is the highest order central moments of the photocounts. More remarkably, in combination with structured illumination a linear improvement with j can be reached. Through simulations and experiments, we prove our method's clear superiority over traditional SOFI, especially in low excitation light conditions, providing a promising avenue for non-invasive super-resolution microscopy of delicate samples.

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Fabio Picariello, Elena Losero, Sviatoslav Ditalia Tchernij, Pauline Boucher, Marco Genovese, Ivano Ruo-Berchera, Ivo Pietro Degiovanni. 2024-08-21. Quantum super-resolution microscopy by photon statistics and structured light. https://doi.org/10.1364/optica.540264

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