Seeing invisible objects with intelligent optics.


Journal

Light, science & applications
ISSN: 2047-7538
Titre abrégé: Light Sci Appl
Pays: England
ID NLM: 101610753

Informations de publication

Date de publication:
05 Sep 2024
Historique:
medline: 5 9 2024
pubmed: 5 9 2024
entrez: 4 9 2024
Statut: epublish

Résumé

Transparent objects are invisible to traditional cameras because they can only detect intensity fluctuations, necessitating the need for interferometry followed by computationally intensive digital image processing. Now it is shown that the necessary transformations can be performed optically by combining machine learning and diffractive optics, for a direct in-situ measurement of transparent objects with conventional cameras.

Identifiants

pubmed: 39231930
doi: 10.1038/s41377-024-01575-2
pii: 10.1038/s41377-024-01575-2
doi:

Types de publication

Journal Article

Langues

eng

Pagination

232

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Isaac Nape (I)

School of Physics, University of the Witwatersrand, Johannesburg, South Africa. isaac.nape@wits.ac.za.

Andrew Forbes (A)

School of Physics, University of the Witwatersrand, Johannesburg, South Africa.

Classifications MeSH