Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866912083765886976 |
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| author | Balondrade, Paul Barolle, Victor Guigui, Nicolas Auriant, Emeric Rougier, Nathan Boccara, Claude Fink, Mathias Aubry, Alexandre |
| author_facet | Balondrade, Paul Barolle, Victor Guigui, Nicolas Auriant, Emeric Rougier, Nathan Boccara, Claude Fink, Mathias Aubry, Alexandre |
| contents | Label-free microscopy exploits light scattering to obtain a three-dimensional image of biological tissues. However, light propagation is affected by aberrations and multiple scattering, which drastically degrade the image quality and limit the penetration depth. Multi-conjugate adaptive optics and time-gated matrix approaches have been developed to compensate for aberrations but the associated frame rate is extremely limited for 3D imaging. Here we develop a multi-spectral matrix approach to solve these fundamental problems. Based on a sparse illumination scheme and an interferometric measurement of the reflected wave-field at multiple wavelengths, the focusing process can be optimized in post-processing for any voxel by addressing independently each frequency component of the reflection matrix. A proof-of-concept experiment demonstrates the three-dimensional image of an opaque human cornea over a 0.1 mm$^3$-field-of-view at a 290 nm-resolution and a 1 Hz-frame rate. This work paves the way towards a fully-digital microscope allowing real-time, in-vivo, quantitative and deep inspection of tissues. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_10951 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy Balondrade, Paul Barolle, Victor Guigui, Nicolas Auriant, Emeric Rougier, Nathan Boccara, Claude Fink, Mathias Aubry, Alexandre Optics Image and Video Processing Label-free microscopy exploits light scattering to obtain a three-dimensional image of biological tissues. However, light propagation is affected by aberrations and multiple scattering, which drastically degrade the image quality and limit the penetration depth. Multi-conjugate adaptive optics and time-gated matrix approaches have been developed to compensate for aberrations but the associated frame rate is extremely limited for 3D imaging. Here we develop a multi-spectral matrix approach to solve these fundamental problems. Based on a sparse illumination scheme and an interferometric measurement of the reflected wave-field at multiple wavelengths, the focusing process can be optimized in post-processing for any voxel by addressing independently each frequency component of the reflection matrix. A proof-of-concept experiment demonstrates the three-dimensional image of an opaque human cornea over a 0.1 mm$^3$-field-of-view at a 290 nm-resolution and a 1 Hz-frame rate. This work paves the way towards a fully-digital microscope allowing real-time, in-vivo, quantitative and deep inspection of tissues. |
| title | Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy |
| topic | Optics Image and Video Processing |
| url | https://arxiv.org/abs/2309.10951 |