Correlated-photon imaging at 10 volumetric images per second.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
07 Aug 2023
07 Aug 2023
Historique:
received:
18
01
2023
accepted:
25
07
2023
medline:
8
8
2023
pubmed:
8
8
2023
entrez:
7
8
2023
Statut:
epublish
Résumé
The correlation properties of light provide an outstanding tool to overcome the limitations of traditional imaging techniques. A relevant case is represented by correlation plenoptic imaging (CPI), a quantum-inspired volumetric imaging protocol employing spatio-temporally correlated photons from either entangled or chaotic sources to address the main limitations of conventional light-field imaging, namely, the poor spatial resolution and the reduced change of perspective for 3D imaging. However, the application potential of high-resolution imaging modalities relying on photon correlations is limited, in practice, by the need to collect a large number of frames. This creates a gap, unacceptable for many relevant tasks, between the time performance of correlated-light imaging and that of traditional imaging methods. In this article, we address this issue by exploiting the photon number correlations intrinsic in chaotic light, combined with a cutting-edge ultrafast sensor made of a large array of single-photon avalanche diodes (SPADs). This combination of source and sensor is embedded within a novel single-lens CPI scheme enabling to acquire 10 volumetric images per second. Our results place correlated-photon imaging at a competitive edge and prove its potential in practical applications.
Identifiants
pubmed: 37550319
doi: 10.1038/s41598-023-39416-8
pii: 10.1038/s41598-023-39416-8
pmc: PMC10406932
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
12813Subventions
Organisme : Schweizerischer Nationalfonds zur F örderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 20QT21_187716
Organisme : Regione Puglia (Puglia Region)
ID : POR PUGLIA FESR-FSE 2014/2020
Organisme : Schweizerischer Nationalfonds zur F örderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 20QT21_187716
Organisme : Schweizerischer Nationalfonds zur F örderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 20QT21_187716
Organisme : Schweizerischer Nationalfonds zur F örderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 20QT21_187716
Informations de copyright
© 2023. Springer Nature Limited.
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