Evidence map›Paper›PMID 39085224›Full record

ArticleLight, science & applications2024

Pyramid diffractive optical networks for unidirectional image magnification and demagnification.

Bijie Bai, Xilin Yang, Tianyi Gan, Jingxi Li, Deniz Mengu, Mona Jarrahi, Aydogan Ozcan

Abstract read
In one paragraph

Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
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  9. 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

7 authors.

Bijie Bai *Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-4744-996X
Xilin Yang *Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-6954-9662
Tianyi GanElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Jingxi LiElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-6595-8680
Deniz MenguElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Mona JarrahiElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-9514-555X
Aydogan OzcanElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA. ozcan@ucla.edu.ORCID http://orcid.org/0000-0002-0717-683X

Funding

United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-22-1-2016
6 · The paper itself

Abstract

Diffractive deep neural networks (D

Identifiers

PMID39085224
PMCPMC11291656

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.