Evidence map›Paper›PMID 39635061›Full record

ReviewNanophotonics (Berlin, Germany)2022

Learning to image and compute with multimode optical fibers.

Babak Rahmani, Ilker Oguz, Ugur Tegin, Jih-Liang Hsieh, Demetri Psaltis, Christophe Moser

Abstract readReview
In one paragraph

Review in Nanophotonics (Berlin, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Review
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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.

Babak RahmaniLaboratory of Applied Photonics Devices, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Institute of Electrical and MicroEngineering, Lausanne, 1015, Switzerland.
Ilker OguzLaboratory of Applied Photonics Devices, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Institute of Electrical and MicroEngineering, Lausanne, 1015, Switzerland.
Ugur TeginLaboratory of Applied Photonics Devices, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Institute of Electrical and MicroEngineering, Lausanne, 1015, Switzerland.
Jih-Liang HsiehLaboratory of Applied Photonics Devices, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Institute of Electrical and MicroEngineering, Lausanne, 1015, Switzerland.
Demetri PsaltisLaboratory of Optics, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Institute of Electrical and MicroEngineering, Lausanne, 1015, Switzerland.
Christophe MoserLaboratory of Applied Photonics Devices, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Institute of Electrical and MicroEngineering, Lausanne, 1015, Switzerland.ORCID https://orcid.org/0000-0002-2078-0273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimode fibers (MMF) were initially developed to transmit digital information encoded in the time domain. There were few attempts in the late 60s and 70s to transmit analog images through MMF. With the availability of digital spatial modulators, practical image transfer through MMFs has the potential to revolutionize medical endoscopy. Because of the fiber's ability to transmit multiple spatial modes of light simultaneously, MMFs could, in principle, replace the millimeters-thick bundles of fibers currently used in endoscopes with a single fiber, only a few hundred microns thick. That, in turn, could potentially open up new, less invasive forms of endoscopy to perform high-resolution imaging of tissues out of reach of current conventional endoscopes. Taking endoscopy by its general meaning as

Indexed as

deep neural networkimagingmultimode fibersneuromorphic computing

Identifiers

PMID39635061
PMCPMC11501552

What OpenQuestion holds

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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.