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arXiv · 2107.12337

Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion

Fernando Soldevila·Armin Lenz·Alberto Ghezzi·Andrea Farina·Cosimo D'Andrea·Enrique Tajahuerce
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Abstract

Time-resolved fluorescence imaging is a key tool in biomedical applications, as it allows to non-invasively obtain functional and structural information. However, the big amount of collected data introduces challenges in both acquisition speed and processing needs. Here, we introduce a novel technique that allows to reconstruct a Giga-voxel 4D hypercube in a fast manner while only measuring 0.03 % of the information. The system combines two single-pixel cameras and a conventional 2D array detector working in parallel. Data fusion techniques are introduced to combine the individual 2D and 3D projections acquired by each sensor in the final high-resolution 4D hypercube, which can be used to identify different fluorophore species by their spectral and temporal signatures.

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Fernando Soldevila, Armin Lenz, Alberto Ghezzi, Andrea Farina, Cosimo D'Andrea, Enrique Tajahuerce. 2021-07-26. Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion. https://doi.org/10.1364/ol.434127

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