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Long sequence single-exposure videography using spatially modulated illumination
Frequency recognition algorithm for multiple exposures (FRAME) is a single-exposure imaging technique that can be used for ultrafast videography, achieved through rapid illumination with spatially modulated laser pulses. To date, both the limit in sequence length as well as the relation between sequ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641221/ https://www.ncbi.nlm.nih.gov/pubmed/33144627 http://dx.doi.org/10.1038/s41598-020-75603-7 |
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author | Ek, Simon Kornienko, Vassily Kristensson, Elias |
author_facet | Ek, Simon Kornienko, Vassily Kristensson, Elias |
author_sort | Ek, Simon |
collection | PubMed |
description | Frequency recognition algorithm for multiple exposures (FRAME) is a single-exposure imaging technique that can be used for ultrafast videography, achieved through rapid illumination with spatially modulated laser pulses. To date, both the limit in sequence length as well as the relation between sequence length and image quality are unknown for FRAME imaging. Investigating these questions requires a flexible optical arrangement that has the capability of reaching significantly longer image sequences than currently available solutions. In this paper we present a new type of FRAME setup that fulfills this criteria. The setup relies only on (i) a diffractive optical element, (ii) an imaging lens and (iii) a digital micromirror device to generate a modulated pulse train with sequence lengths ranging from 2 to 1024 image frames. To the best of the authors’ knowledge, this is the highest number of temporally resolved frames imaged in a single-exposure. |
format | Online Article Text |
id | pubmed-7641221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76412212020-11-05 Long sequence single-exposure videography using spatially modulated illumination Ek, Simon Kornienko, Vassily Kristensson, Elias Sci Rep Article Frequency recognition algorithm for multiple exposures (FRAME) is a single-exposure imaging technique that can be used for ultrafast videography, achieved through rapid illumination with spatially modulated laser pulses. To date, both the limit in sequence length as well as the relation between sequence length and image quality are unknown for FRAME imaging. Investigating these questions requires a flexible optical arrangement that has the capability of reaching significantly longer image sequences than currently available solutions. In this paper we present a new type of FRAME setup that fulfills this criteria. The setup relies only on (i) a diffractive optical element, (ii) an imaging lens and (iii) a digital micromirror device to generate a modulated pulse train with sequence lengths ranging from 2 to 1024 image frames. To the best of the authors’ knowledge, this is the highest number of temporally resolved frames imaged in a single-exposure. Nature Publishing Group UK 2020-11-03 /pmc/articles/PMC7641221/ /pubmed/33144627 http://dx.doi.org/10.1038/s41598-020-75603-7 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ek, Simon Kornienko, Vassily Kristensson, Elias Long sequence single-exposure videography using spatially modulated illumination |
title | Long sequence single-exposure videography using spatially modulated illumination |
title_full | Long sequence single-exposure videography using spatially modulated illumination |
title_fullStr | Long sequence single-exposure videography using spatially modulated illumination |
title_full_unstemmed | Long sequence single-exposure videography using spatially modulated illumination |
title_short | Long sequence single-exposure videography using spatially modulated illumination |
title_sort | long sequence single-exposure videography using spatially modulated illumination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641221/ https://www.ncbi.nlm.nih.gov/pubmed/33144627 http://dx.doi.org/10.1038/s41598-020-75603-7 |
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