Computational based time-resolved multispectral fluorescence microscopy
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Título
Computational based time-resolved multispectral fluorescence microscopyAutoría
Fecha de publicación
2023-04Editor
American Institute of PhysicsISSN
2378-0967Cita bibliográfica
Alberto Ghezzi, Armin J. M. Lenz, Fernando Soldevila, Enrique Tajahuerce, Vito Vurro, Andrea Bassi, Gianluca Valentini, Andrea Farina, Cosimo D’Andrea; Computational based time-resolved multispectral fluorescence microscopy. APL Photonics 1 April 2023; 8 (4): 046110. https://doi.org/10.1063/5.0135452Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://pubs.aip.org/aip/app/article/8/4/046110/2877869Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Multispectral imaging and time-resolved imaging are two common acquisition schemes in fluorescence microscopy, and their combination can be beneficial to increase specificity. The multidimensionality of the dataset ... [+]
Multispectral imaging and time-resolved imaging are two common acquisition schemes in fluorescence microscopy, and their combination can be beneficial to increase specificity. The multidimensionality of the dataset (space, time, and spectrum) introduces some challenges, such as the acquisition of big datasets and long measurement times. In this work, we present a time-resolved multispectral fluorescence microscopy system with a short measurement time, achieved by exploiting Compressive Sensing (CS) based on the Single-Pixel Camera (SPC) scheme. Data Fusion (DF) with a high-resolution camera allows us to tackle the problem of low spatial resolution, typical of SPC. The combined use of SPC, CS, and DF, in which hardware and algorithms are integrated, represents a computational imaging framework to reduce the number of measurements while preserving the information content. This approach has been exploited to demonstrate a zoom feature without moving the optical system. We describe and characterize the system in terms of spatial, spectral, and temporal properties, along with validation on a cellular sample. [-]
Publicado en
APL Photonics, 2023, vol. 8, no 4Entidad financiadora
Regione Lombardia | European Commission | Ministerio de Ciencia, Innovación y Universidades | Generalitat Valenciana | Universitat Jaume I.
Identificador de la entidad financiadora
http://dx.doi.org/10.13039/501100011033
Código del proyecto o subvención
POR FESR 2014–2020 | 2020WMSNBL | info:eu-repo/grantAgreement/EC/H2020/871124 | MICIU/ICTI2017-2020/PID2019-110927RB-I00 | Prometeo/2020/029 | ACIF/2019/019 | UJI-B2021-65
Título del proyecto o subvención
Control inteligente de haces de luz aplicado a las ciencias de la vida | https://www.scitation.org/doi/suppl/10.1063/5.0135452
Derechos de acceso
info:eu-repo/semantics/openAccess
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