Evidence map›Paper›PMID 37550319›Full record

ArticleScientific reports2023

Correlated-photon imaging at 10 volumetric images per second.

Gianlorenzo Massaro, Paul Mos, Sergii Vasiukov, Francesco Di Lena, Francesco Scattarella, Francesco V Pepe, Arin Ulku, Davide Giannella, Edoardo Charbon, Claudio Bruschini and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gianlorenzo Massaro *Dipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Paul Mos *Ecole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.
Sergii Vasiukov *Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.
Francesco Di LenaIstituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125, Bari, Italy.
Francesco ScattarellaDipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Francesco V PepeDipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy. francesco.pepe@ba.infn.it.ORCID http://orcid.org/0000-0002-7407-063X
Arin UlkuEcole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.
Davide GiannellaDipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.
Edoardo CharbonEcole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.
Claudio BruschiniEcole polytechnique fédérale de Lausanne (EPFL), 2002, Neuchâtel, Switzerland.
Milena D'AngeloDipartimento Interuniversitario di Fisica, Università degli studi di Bari, 70126, Bari, Italy.ORCID http://orcid.org/0000-0002-8206-3982

Funding

Regione Puglia (Puglia Region) POR PUGLIA FESR-FSE 2014/2020Schweizerischer Nationalfonds zur F örderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 20QT21_187716
6 · The paper itself

Abstract

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.

Identifiers

PMID37550319
PMCPMC10406932

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.