Multispectral fluorescence lifetime microscopy based on computational imaging schemes.

Alberto Ghezzi; Serena Farina; Ivan Labanca; Giulia Acconcia; Armin Lenz; Fernando Soldevilla; Enrique Tajahuerce; Andrea Bassi; Gianluca Valentini; Ivan Rech; Andrea Farina; Cosimo D'Andrea

doi:10.1117/12.2665216

15 June 2023 Multispectral fluorescence lifetime microscopy based on computational imaging schemes.

Alberto Ghezzi, Serena Farina, Ivan Labanca, Giulia Acconcia, Armin Lenz, Fernando Soldevilla, Enrique Tajahuerce, Andrea Bassi, Gianluca Valentini, Ivan Rech, Andrea Farina, Cosimo D'Andrea

Author Affiliations +

Proceedings Volume PC12512, Advanced Photon Counting Techniques XVII; PC1251209 (2023) https://doi.org/10.1117/12.2665216
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Multispectral fluorescence lifetime microscopy (FLIM) is a valuable tool for biomedical and environmental applications. A multidimensional acquisition scheme (space, time, spectrum) provides high information content and the drawback of long acquisition/processing times. Compressive Sensing (CS) combined with Single-Pixel Camera (SPC) acquisition scheme has been proposed as a strategy to reduce the number of measurements. We present a multispectral FLIM system based on SPC, CS and data fusion (DF) with a high-resolution camera to strongly reduce the acquisition time. We adopted a novel method for TCSPC to increase the count-rate. The system is characterized and validated on a cellular sample.

Conference Presentation

Citation Download Citation

Alberto Ghezzi, Serena Farina, Ivan Labanca, Giulia Acconcia, Armin Lenz, Fernando Soldevilla, Enrique Tajahuerce, Andrea Bassi, Gianluca Valentini, Ivan Rech, Andrea Farina, and Cosimo D'Andrea "Multispectral fluorescence lifetime microscopy based on computational imaging schemes.", Proc. SPIE PC12512, Advanced Photon Counting Techniques XVII, PC1251209 (15 June 2023); https://doi.org/10.1117/12.2665216

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