Quantum super-resolution microscopy by photon statistics and structured light
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866918040519573504 |
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| author | Picariello, Fabio Losero, Elena Tchernij, Sviatoslav Ditalia Boucher, Pauline Genovese, Marco Ruo-Berchera, Ivano Degiovanni, Ivo Pietro |
| author_facet | Picariello, Fabio Losero, Elena Tchernij, Sviatoslav Ditalia Boucher, Pauline Genovese, Marco Ruo-Berchera, Ivano Degiovanni, Ivo Pietro |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11654 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quantum super-resolution microscopy by photon statistics and structured light Picariello, Fabio Losero, Elena Tchernij, Sviatoslav Ditalia Boucher, Pauline Genovese, Marco Ruo-Berchera, Ivano Degiovanni, Ivo Pietro Quantum Physics 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. |
| title | Quantum super-resolution microscopy by photon statistics and structured light |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2408.11654 |