Sample Motion for Structured Illumination Fluorescence Microscopy
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866913893230575616 |
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| author | Cao, Ruiming Meng, Guanghan Waller, Laura |
| author_facet | Cao, Ruiming Meng, Guanghan Waller, Laura |
| contents | Structured illumination microscopy (SIM) uses a set of images captured with different illumination patterns to computationally reconstruct resolution beyond the diffraction limit. Here, we propose an alternative approach using a single speckle illumination pattern and relying on inherent sample motion to encode the super-resolved information in multiple raw images. From a set of raw fluorescence images captured as the sample moves, we jointly estimate both the sample motion and the super-resolved image. We demonstrate the feasibility of the proposed method both in simulation and in experiment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03667 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sample Motion for Structured Illumination Fluorescence Microscopy Cao, Ruiming Meng, Guanghan Waller, Laura Optics Image and Video Processing Structured illumination microscopy (SIM) uses a set of images captured with different illumination patterns to computationally reconstruct resolution beyond the diffraction limit. Here, we propose an alternative approach using a single speckle illumination pattern and relying on inherent sample motion to encode the super-resolved information in multiple raw images. From a set of raw fluorescence images captured as the sample moves, we jointly estimate both the sample motion and the super-resolved image. We demonstrate the feasibility of the proposed method both in simulation and in experiment. |
| title | Sample Motion for Structured Illumination Fluorescence Microscopy |
| topic | Optics Image and Video Processing |
| url | https://arxiv.org/abs/2502.03667 |