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Computational based time-resolved multispectral fluorescence microscopy
dc.contributor.author | Ghezzi, Alberto | |
dc.contributor.author | Lenz, Armin | |
dc.contributor.author | Soldevila, Fernando | |
dc.contributor.author | Tajahuerce, Enrique | |
dc.contributor.author | Vurro, Vito | |
dc.contributor.author | Bassi, Andrea | |
dc.contributor.author | Valentini, Gianluca | |
dc.contributor.author | Farina, Andrea | |
dc.contributor.author | D'Andrea, Cosimo | |
dc.date.accessioned | 2023-06-09T06:20:48Z | |
dc.date.available | 2023-06-09T06:20:48Z | |
dc.date.issued | 2023-04 | |
dc.identifier.citation | 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/10.1063/5.0135452 | ca_CA |
dc.identifier.issn | 2378-0967 | |
dc.identifier.uri | http://hdl.handle.net/10234/202764 | |
dc.description.abstract | 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. | ca_CA |
dc.format.extent | 7 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | American Institute of Physics | ca_CA |
dc.relation | Control inteligente de haces de luz aplicado a las ciencias de la vida | ca_CA |
dc.relation | https://www.scitation.org/doi/suppl/10.1063/5.0135452 | |
dc.relation.isPartOf | APL Photonics, 2023, vol. 8, no 4 | ca_CA |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | ca_CA |
dc.subject | multispectral imaging | ca_CA |
dc.subject | fluorescence microscopy | ca_CA |
dc.subject | optical system | ca_CA |
dc.title | Computational based time-resolved multispectral fluorescence microscopy | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1063/5.0135452 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://pubs.aip.org/aip/app/article/8/4/046110/2877869 | ca_CA |
dc.description.sponsorship | The research leading to these results received funding from the Regione Lombardia project NEWMED (co-financed with resources of POR FESR 2014–2020), PRIN2020 (Grant No. 2020WMSNBL), and LASERLAB-EUROPE V (Grant Agreement No. 871124, H2020). A. J. M. Lenz and E. Tajahuerce acknowledge the funding by Project No. PID2019-110927RB-I00 financed by MCIN/AEI/10.13039/501100011033, Grant Nos. Prometeo/2020/029 and ACIF/2019/019 financed by Generalitat Valenciana, and UJI-B2021-65 financed by Universitat Jaume I. | |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
project.funder.identifier | http://dx.doi.org/10.13039/501100011033 | ca_CA |
project.funder.name | Regione Lombardia | ca_CA |
project.funder.name | European Commission | ca_CA |
project.funder.name | Ministerio de Ciencia, Innovación y Universidades | ca_CA |
project.funder.name | Generalitat Valenciana | ca_CA |
project.funder.name | Universitat Jaume I. | ca_CA |
oaire.awardNumber | POR FESR 2014–2020 | ca_CA |
oaire.awardNumber | 2020WMSNBL | ca_CA |
oaire.awardNumber | info:eu-repo/grantAgreement/EC/H2020/871124 | ca_CA |
oaire.awardNumber | MICIU/ICTI2017-2020/PID2019-110927RB-I00 | ca_CA |
oaire.awardNumber | Prometeo/2020/029 | ca_CA |
oaire.awardNumber | ACIF/2019/019 | ca_CA |
oaire.awardNumber | UJI-B2021-65 | ca_CA |
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