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Single-pixel imaging using caustic patterns

Single-pixel imaging uses a time-varying transmission mask placed in the illumination to achieve imaging without the use of detector arrays. While most research in this field uses sophisticated masks implemented using spatial light modulators, such methods are not available at all lengthscales and w...

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Detalles Bibliográficos
Autores principales: Toninelli, Ermes, Stellinga, Daan, Sephton, Bereneice, Forbes, Andrew, Padgett, Miles J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010788/
https://www.ncbi.nlm.nih.gov/pubmed/32042013
http://dx.doi.org/10.1038/s41598-020-59224-8
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author Toninelli, Ermes
Stellinga, Daan
Sephton, Bereneice
Forbes, Andrew
Padgett, Miles J.
author_facet Toninelli, Ermes
Stellinga, Daan
Sephton, Bereneice
Forbes, Andrew
Padgett, Miles J.
author_sort Toninelli, Ermes
collection PubMed
description Single-pixel imaging uses a time-varying transmission mask placed in the illumination to achieve imaging without the use of detector arrays. While most research in this field uses sophisticated masks implemented using spatial light modulators, such methods are not available at all lengthscales and wavelengths of illumination. Here we show that alternatively a sequence of projected caustic intensity patterns can be used as the basis for the single-pixel imaging of objects. Caustics can be formed using slowly varying random phase masks, such as for example the surface of a swimming pool, which potentially makes using caustics an option at a range of lengthscales and wavelengths.
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spelling pubmed-70107882020-02-21 Single-pixel imaging using caustic patterns Toninelli, Ermes Stellinga, Daan Sephton, Bereneice Forbes, Andrew Padgett, Miles J. Sci Rep Article Single-pixel imaging uses a time-varying transmission mask placed in the illumination to achieve imaging without the use of detector arrays. While most research in this field uses sophisticated masks implemented using spatial light modulators, such methods are not available at all lengthscales and wavelengths of illumination. Here we show that alternatively a sequence of projected caustic intensity patterns can be used as the basis for the single-pixel imaging of objects. Caustics can be formed using slowly varying random phase masks, such as for example the surface of a swimming pool, which potentially makes using caustics an option at a range of lengthscales and wavelengths. Nature Publishing Group UK 2020-02-10 /pmc/articles/PMC7010788/ /pubmed/32042013 http://dx.doi.org/10.1038/s41598-020-59224-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Toninelli, Ermes
Stellinga, Daan
Sephton, Bereneice
Forbes, Andrew
Padgett, Miles J.
Single-pixel imaging using caustic patterns
title Single-pixel imaging using caustic patterns
title_full Single-pixel imaging using caustic patterns
title_fullStr Single-pixel imaging using caustic patterns
title_full_unstemmed Single-pixel imaging using caustic patterns
title_short Single-pixel imaging using caustic patterns
title_sort single-pixel imaging using caustic patterns
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010788/
https://www.ncbi.nlm.nih.gov/pubmed/32042013
http://dx.doi.org/10.1038/s41598-020-59224-8
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