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research article

Correlated-photon imaging at 10 volumetric images per second

Massaro, Gianlorenzo
•
Mos, Paul  
•
Vasiukov, Sergii
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August 7, 2023
Scientific Reports

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.

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Type
research article
DOI
10.1038/s41598-023-39416-8
Web of Science ID

WOS:001044365500044

Author(s)
Massaro, Gianlorenzo
Mos, Paul  
Vasiukov, Sergii
Di Lena, Francesco
Scattarella, Francesco
Pepe, Francesco V.
Ulku, Arin  
Giannella, Davide
Charbon, Edoardo  
Bruschini, Claudio  
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Date Issued

2023-08-07

Publisher

Nature Portfolio

Published in
Scientific Reports
Volume

13

Issue

1

Subjects

Multidisciplinary Sciences

•

Science & Technology - Other Topics

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
AQUA  
Available on Infoscience
September 11, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/200542
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