Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns

Abstract We propose and demonstrate a spectrally-resolved photoluminescence imaging setup based on the so-called single pixel camera – a technique of compressive sensing, which enables imaging by using a single-pixel photodetector. The method relies on encoding an image by a series of random pattern...

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Autores principales: Karel Žídek, Ondřej Denk, Jiří Hlubuček
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/91316c87a48c4fb5af10e4f79d261628
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spelling oai:doaj.org-article:91316c87a48c4fb5af10e4f79d2616282021-12-02T15:06:22ZLensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns10.1038/s41598-017-14443-42045-2322https://doaj.org/article/91316c87a48c4fb5af10e4f79d2616282017-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-14443-4https://doaj.org/toc/2045-2322Abstract We propose and demonstrate a spectrally-resolved photoluminescence imaging setup based on the so-called single pixel camera – a technique of compressive sensing, which enables imaging by using a single-pixel photodetector. The method relies on encoding an image by a series of random patterns. In our approach, the image encoding was maintained via laser speckle patterns generated by an excitation laser beam scattered on a diffusor. By using a spectrometer as the single-pixel detector we attained a realization of a spectrally-resolved photoluminescence camera with unmatched simplicity. We present reconstructed hyperspectral images of several model scenes. We also discuss parameters affecting the imaging quality, such as the correlation degree of speckle patterns, pattern fineness, and number of datapoints. Finally, we compare the presented technique to hyperspectral imaging using sample scanning. The presented method enables photoluminescence imaging for a broad range of coherent excitation sources and detection spectral areas.Karel ŽídekOndřej DenkJiří HlubučekNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Karel Žídek
Ondřej Denk
Jiří Hlubuček
Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns
description Abstract We propose and demonstrate a spectrally-resolved photoluminescence imaging setup based on the so-called single pixel camera – a technique of compressive sensing, which enables imaging by using a single-pixel photodetector. The method relies on encoding an image by a series of random patterns. In our approach, the image encoding was maintained via laser speckle patterns generated by an excitation laser beam scattered on a diffusor. By using a spectrometer as the single-pixel detector we attained a realization of a spectrally-resolved photoluminescence camera with unmatched simplicity. We present reconstructed hyperspectral images of several model scenes. We also discuss parameters affecting the imaging quality, such as the correlation degree of speckle patterns, pattern fineness, and number of datapoints. Finally, we compare the presented technique to hyperspectral imaging using sample scanning. The presented method enables photoluminescence imaging for a broad range of coherent excitation sources and detection spectral areas.
format article
author Karel Žídek
Ondřej Denk
Jiří Hlubuček
author_facet Karel Žídek
Ondřej Denk
Jiří Hlubuček
author_sort Karel Žídek
title Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns
title_short Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns
title_full Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns
title_fullStr Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns
title_full_unstemmed Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns
title_sort lensless photoluminescence hyperspectral camera employing random speckle patterns
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/91316c87a48c4fb5af10e4f79d261628
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AT ondrejdenk lenslessphotoluminescencehyperspectralcameraemployingrandomspecklepatterns
AT jirihlubucek lenslessphotoluminescencehyperspectralcameraemployingrandomspecklepatterns
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