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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.18786 |
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| _version_ | 1866916841420488704 |
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| author | Capalbo, Valentina Battaglini, Damiana Petroni, Marialaura Ruocco, Giancarlo Leonetti, Marco |
| author_facet | Capalbo, Valentina Battaglini, Damiana Petroni, Marialaura Ruocco, Giancarlo Leonetti, Marco |
| contents | Structured illumination microscopy (SIM) can achieve a $2\times$ resolution enhancement beyond the classical diffraction limit by employing illumination translations with respect to the object. This method has also been successfully implemented in a ``blind'' configuration, i.e., with unknown illumination patterns, allowing for more relaxed constraints on the control of illumination delivery. Here, we present a similar approach using a novel super-resolution algorithm that employs a generalized version of the popular Richardson-Lucy algorithm, alongside an optimized and customized optical setup. Both numerical and experimental validations demonstrate that our technique exhibits high noise resilience. Moreover, by implementing random translations instead of ``ordered'' ones, noise-related artifacts are reduced. These advancements enable wide-field super-resolved imaging with significantly reduced optical complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_18786 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Translation-based structured illumination microscopy via generalized Richardson-Lucy method Capalbo, Valentina Battaglini, Damiana Petroni, Marialaura Ruocco, Giancarlo Leonetti, Marco Optics Structured illumination microscopy (SIM) can achieve a $2\times$ resolution enhancement beyond the classical diffraction limit by employing illumination translations with respect to the object. This method has also been successfully implemented in a ``blind'' configuration, i.e., with unknown illumination patterns, allowing for more relaxed constraints on the control of illumination delivery. Here, we present a similar approach using a novel super-resolution algorithm that employs a generalized version of the popular Richardson-Lucy algorithm, alongside an optimized and customized optical setup. Both numerical and experimental validations demonstrate that our technique exhibits high noise resilience. Moreover, by implementing random translations instead of ``ordered'' ones, noise-related artifacts are reduced. These advancements enable wide-field super-resolved imaging with significantly reduced optical complexity. |
| title | Translation-based structured illumination microscopy via generalized Richardson-Lucy method |
| topic | Optics |
| url | https://arxiv.org/abs/2503.18786 |