Hyperspectral computational SPIM for quantitative multicolor imaging

Cédric Ray; Sébastien Crombez; Chloé Exbrayat-Heritier; Florence Ruggiero; Nicolas Ducros

doi:10.1117/12.3022171

18 June 2024 Hyperspectral computational SPIM for quantitative multicolor imaging

Cédric Ray, Sébastien Crombez, Chloé Exbrayat-Heritier, Florence Ruggiero, Nicolas Ducros

Proceedings Volume PC12996, Unconventional Optical Imaging IV; PC129960Q (2024) https://doi.org/10.1117/12.3022171
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

We present a computational approach for hyperspectral computational Selective Plane Illumination Microscopy (SPIM), offering fast 3D imaging with reduced photobleaching. Inspired by Hadamard spectroscopy, our method employs structured light sheets via a digital micromirror device. A data-driven reconstruction strategy, implemented through an end-to-end trained neural network, demonstrates robust performance under varying noise levels. Leveraging non-negative least squares minimization, we obtain component maps, exemplifying applications such as autofluorescence removal in transgenic zebrafish and discrimination of closely matched red proteins. Our findings showcase the potential of computational strategies to advance hyperspectral SPIM in photonic research.

Conference Presentation

Citation Download Citation

Cédric Ray, Sébastien Crombez, Chloé Exbrayat-Heritier, Florence Ruggiero, and Nicolas Ducros "Hyperspectral computational SPIM for quantitative multicolor imaging", Proc. SPIE PC12996, Unconventional Optical Imaging IV, PC129960Q (18 June 2024); https://doi.org/10.1117/12.3022171

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