Evidence map›Paper›PMID 35790711›Full record

ArticleLight, science & applications2022

Towards higher-dimensional structured light.

Chao He, Yijie Shen, Andrew Forbes

Abstract read
In one paragraph

Article in Light, science & applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Topologically Structured Light in Nanophotonics.Nanophotonics (Berlin, Germany) · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Polarization-engineered aberration-resilient light sheet microscopy.bioRxiv : the preprint server for biology · 2026
    Article
  19. Quantum topology emerges at near field.Light, science & applications · 2026
    Article
  20. Article

22 more citing papers are in PubMed but not listed here.

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

3 authors.

Chao HeDepartment of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK. chao.he@eng.ox.ac.uk.ORCID http://orcid.org/0000-0001-9654-830X
Yijie ShenOptoelectronics Research Centre, University of Southampton, Southampton, SO17 1BJ, UK. y.shen@soton.ac.uk.ORCID http://orcid.org/0000-0002-6700-9902
Andrew ForbesSchool of Physics, University of the Witwatersrand, Private Bag 3, Johannesburg, 2050, South Africa. andrew.forbes@wits.ac.za.ORCID http://orcid.org/0000-0003-2552-5586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structured light refers to the arbitrarily tailoring of optical fields in all their degrees of freedom (DoFs), from spatial to temporal. Although orbital angular momentum (OAM) is perhaps the most topical example, and celebrating 30 years since its connection to the spatial structure of light, control over other DoFs is slowly gaining traction, promising access to higher-dimensional forms of structured light. Nevertheless, harnessing these new DoFs in quantum and classical states remains challenging, with the toolkit still in its infancy. In this perspective, we discuss methods, challenges, and opportunities for the creation, detection, and control of multiple DoFs for higher-dimensional structured light. We present a roadmap for future development trends, from fundamental research to applications, concentrating on the potential for larger-capacity, higher-security information processing and communication, and beyond.

Identifiers

PMID35790711
PMCPMC9256673

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.