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13 March 2024 Multispectral fluorescence lifetime imaging microscope based on computational imaging techniques
Cosimo D'Andrea, Alberto Ghezzi, Armin Lenz, Fernando Soldevilla, Enrique Tajahuerce, Vito Vurro, Andrea Bassi, Gianluca Valentini, Andrea Farina
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Proceedings Volume PC12848, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXXI; PC128480I (2024) https://doi.org/10.1117/12.3002976
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Multispectral fluorescence lifetime imaging microscopy (λFLIM) is a powerful optical technique to investigate biological processes, which generally requires long acquisition time. Single Pixel Camera (SPC) is an imaging architecture base on Compressive Sensing (CS) techniques which allows to strongly reduce the acquisition time while preserving the information content at the cost of an increased computational time. In this work we present a λFLIM microscope based on CS-SPC architecture. We have tested the multiscale capability of the system by merging SPC zooming with data fusion and proposed a fast fitting framework, which runs in parallel with the acquisition, allowing a fast visualization.
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Cosimo D'Andrea, Alberto Ghezzi, Armin Lenz, Fernando Soldevilla, Enrique Tajahuerce, Vito Vurro, Andrea Bassi, Gianluca Valentini, and Andrea Farina "Multispectral fluorescence lifetime imaging microscope based on computational imaging techniques", Proc. SPIE PC12848, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXXI, PC128480I (13 March 2024); https://doi.org/10.1117/12.3002976
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KEYWORDS
Fluorescence lifetime imaging
Computational imaging
Microscopes
Multispectral imaging
Fluorescence
Fluorophores
Pollution control
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