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
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

12813

Subventions

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.

Références

Opt Express. 2018 Aug 20;26(17):22234-22248
pubmed: 30130919
Sci Rep. 2022 Oct 7;12(1):16823
pubmed: 36207387
Phys Rev Lett. 2005 Feb 18;94(6):063601
pubmed: 15783729
Nat Methods. 2014 Jul;11(7):727-730
pubmed: 24836920
Phys Rev Lett. 2002 Sep 9;89(11):113601
pubmed: 12225140
Opt Express. 2019 Sep 2;27(18):25187-25195
pubmed: 31510395
Methods Appl Fluoresc. 2020 Feb 05;8(2):024002
pubmed: 31968310
Opt Express. 2020 Nov 23;28(24):35857-35868
pubmed: 33379693
IEEE Trans Image Process. 2016 Jan;25(1):80-91
pubmed: 26561433
Sensors (Basel). 2016 Jun 29;16(7):
pubmed: 27367697
IEEE J Sel Top Quantum Electron. 2019 Jan-Feb;25(1):
pubmed: 31156324
Opt Express. 2019 Nov 11;27(23):32863-32882
pubmed: 31878363
Nature. 2014 Aug 28;512(7515):409-12
pubmed: 25164751
Opt Lett. 2010 Apr 15;35(8):1206-8
pubmed: 20410968
Phys Rev Lett. 2017 Dec 15;119(24):243602
pubmed: 29286709
Light Sci Appl. 2017 Jul 14;6(7):e17005
pubmed: 30167268
Opt Express. 2013 Oct 21;21(21):25418-39
pubmed: 24150383
Phys Rev A. 1995 Nov;52(5):R3429-R3432
pubmed: 9912767
Phys Rev Lett. 2013 Feb 22;110(8):083901
pubmed: 23473147
Phys Rev Lett. 2005 May 13;94(18):183602
pubmed: 15904368
Phys Rev Lett. 2009 May 29;102(21):213602
pubmed: 19519105
Sensors (Basel). 2022 Sep 03;22(17):
pubmed: 36081124
Nat Methods. 2018 Jun;15(6):429-432
pubmed: 29736000
Opt Express. 2012 Dec 17;20(27):27992-8
pubmed: 23263033
Phys Rev A. 1996 Dec;54(6):5349-5360
pubmed: 9914105
Phys Rev A. 1996 Apr;53(4):2804-2815
pubmed: 9913196
Opt Lett. 2014 Apr 15;39(8):2314-7
pubmed: 24978981
Phys Rev Lett. 2010 Jun 25;104(25):253603
pubmed: 20867377
Sensors (Basel). 2014 May 16;14(5):8669-85
pubmed: 24841246
Phys Rev Lett. 2004 Aug 27;93(9):093602
pubmed: 15447100
Science. 2013 May 17;340(6134):844-7
pubmed: 23687044
Phys Rev Lett. 2016 Jun 3;116(22):223602
pubmed: 27314718
Phys Rev Lett. 2006 Feb 17;96(6):063602
pubmed: 16605993

Auteurs

Gianlorenzo Massaro (G)

Dipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.

Paul Mos (P)

Ecole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.

Sergii Vasiukov (S)

Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.

Francesco Di Lena (F)

Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.

Francesco Scattarella (F)

Dipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.

Francesco V Pepe (FV)

Dipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy. francesco.pepe@ba.infn.it.
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy. francesco.pepe@ba.infn.it.

Arin Ulku (A)

Ecole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.

Davide Giannella (D)

Dipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.

Edoardo Charbon (E)

Ecole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.

Claudio Bruschini (C)

Ecole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.

Milena D'Angelo (M)

Dipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.

Classifications MeSH