Quantum super-resolution microscopy by photon statistics and structured light

• URL: http://arxiv.org/abs/2408.11654v1
• Date: Wed, 21 Aug 2024 14:26:08 GMT
• Title: Quantum super-resolution microscopy by photon statistics and structured light
• Authors: Fabio Picariello, Elena Losero, Sviatoslav Ditalia Tchernij, Pauline Boucher, Marco Genovese, Ivano Ruo-Berchera, Ivo Pietro Degiovanni,
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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