Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion
Autor: | Soldevila, Fernando, Lenz, Armin, Ghezzi, Alberto, Farina, Andrea, D'Andrea, Cosimo, Tajahuerce, Enrique |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Optics Letters Vol. 46, Issue 17, pp. 4312-4315 (2021) |
Druh dokumentu: | Working Paper |
DOI: | 10.1364/OL.434127 |
Popis: | 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. Comment: 6 pages, 4 figures |
Databáze: | arXiv |
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