Evidence map›Paper›PMID 37343065›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Speckle-correlation imaging through a kaleidoscopic multimode fiber.

Dorian Bouchet, Antonio Miguel Caravaca-Aguirre, Guillaume Godefroy, Philippe Moreau, Irène Wang, Emmanuel Bossy

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Speckle-correlation imaging through a kaleidoscopic multimode fiber.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

6 authors.

Dorian BouchetUniversité Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.ORCID 0000-0002-9122-5170
Antonio Miguel Caravaca-AguirreUniversité Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.
Guillaume GodefroyUniversité Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.ORCID 0000-0002-0538-7967
Philippe MoreauUniversité Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.
Irène WangUniversité Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.ORCID 0000-0003-3434-8606
Emmanuel BossyUniversité Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.ORCID 0000-0002-8101-8290

Funding

H2020 European Research Council grant 681514-COHERENCEMarie Sklodowska Curie Individual Fellowship grant 750420-DARWIN
6 · The paper itself

Abstract

Speckle-correlation imaging techniques are widely used for noninvasive imaging through complex scattering media. While light propagation through multimode fibers and scattering media share many analogies, reconstructing images through multimode fibers from speckle correlations remains an unsolved challenge. Here, we exploit a kaleidoscopic memory effect emerging in square-core multimode fibers and demonstrate fluorescence imaging with no prior knowledge on the fiber. Experimentally, our approach simply requires to translate random speckle patterns at the input of a square-core fiber and to measure the resulting fluorescence intensity with a bucket detector. The image of the fluorescent object is then reconstructed from the autocorrelation of the measured signal by solving an inverse problem. This strategy does not require the knowledge of the fragile deterministic relation between input and output fields, which makes it promising for the development of flexible minimally invasive endoscopes.

Indexed as

light propagationmemory effectmultimode fibersoptical imagingspeckle correlations

Identifiers

PMID37343065
PMCPMC10293815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.