Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy
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arXiv
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Preprint |
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2020
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| _version_ | 1866918069330247680 |
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| author | Lai-Tim, Yann Mugnier, Laurent Krafft, Léa Chen, Antoine Petit, Cyril Mecê, Pedro Grieve, Kate Paques, Michel Meimon, Serge |
| author_facet | Lai-Tim, Yann Mugnier, Laurent Krafft, Léa Chen, Antoine Petit, Cyril Mecê, Pedro Grieve, Kate Paques, Michel Meimon, Serge |
| contents | Structured illumination microscopy (SIM) is one of the most versatile super-resolution techniques. Yet, its application to live imaging has been so far mainly limited to fluorescent and stationary specimens. Here, we present advancements in SIM to jointly tackle all the challenges of imaging living samples, i.e., obtaining super-resolution over an undistorted wide-field while dealing with sample motion, scattering, sample-induced optical aberrations and low signal-to-noise ratio. By using adaptive optics to compensate for optical aberrations and a reconstruction algorithm tailored for a moving and thick tissue, we successfully applied SIM to in vivo retinal imaging and demonstrated structured illumination ophthalmoscopy for high contrast super-resolution in vivo imaging of the human retina. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2007_16028 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy Lai-Tim, Yann Mugnier, Laurent Krafft, Léa Chen, Antoine Petit, Cyril Mecê, Pedro Grieve, Kate Paques, Michel Meimon, Serge Medical Physics Biological Physics Optics Structured illumination microscopy (SIM) is one of the most versatile super-resolution techniques. Yet, its application to live imaging has been so far mainly limited to fluorescent and stationary specimens. Here, we present advancements in SIM to jointly tackle all the challenges of imaging living samples, i.e., obtaining super-resolution over an undistorted wide-field while dealing with sample motion, scattering, sample-induced optical aberrations and low signal-to-noise ratio. By using adaptive optics to compensate for optical aberrations and a reconstruction algorithm tailored for a moving and thick tissue, we successfully applied SIM to in vivo retinal imaging and demonstrated structured illumination ophthalmoscopy for high contrast super-resolution in vivo imaging of the human retina. |
| title | Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy |
| topic | Medical Physics Biological Physics Optics |
| url | https://arxiv.org/abs/2007.16028 |