Giga-voxel multispectral time-resolved imaging with single-pixel detection and data fusion

Armin J. M. Lenz; Fernando Soldevila; Alberto Ghezzi; Andrea Farina; Cosimo D'Andrea; Enrique Tajahuerce

doi:10.1117/12.2621587

20 May 2022 Giga-voxel multispectral time-resolved imaging with single-pixel detection and data fusion

Armin J. M. Lenz, Fernando Soldevila, Alberto Ghezzi, Andrea Farina, Cosimo D'Andrea, Enrique Tajahuerce

Proceedings Volume 12136, Unconventional Optical Imaging III; 121360D (2022) https://doi.org/10.1117/12.2621587
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Abstract

We present a technique for multispectral fluorescence lifetime imaging with high spatial resolution by combining both single-pixel and data fusion imaging techniques. The system relies on the combined use of three different sensors: two SP cameras capturing multispectral and time-resolved information, and a conventional 2D array detector capturing high spatial resolution images The resultant giga-voxel 4D hypercube is acquired in a fast manner measuring only 0.03% of the dataset. The fusion procedure is done by solving a regularization problem which is efficiently solved via gradient descent. The system can be used to identify fluorophore species.

Conference Presentation

Citation Download Citation

Armin J. M. Lenz, Fernando Soldevila, Alberto Ghezzi, Andrea Farina, Cosimo D'Andrea, and Enrique Tajahuerce "Giga-voxel multispectral time-resolved imaging with single-pixel detection and data fusion", Proc. SPIE 12136, Unconventional Optical Imaging III, 121360D (20 May 2022); https://doi.org/10.1117/12.2621587

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