Rotational hyperspectral scanner and related image reconstruction algorithm
Abstract We design and implement a compact and lightweight hyperspectral scanner. Based on this, a novel rotational hyperspectral scanner was demonstrated. Different from translational scanning, rotational scanning is a moveless and stable scanning method. We also designed a relevant image algorithm...
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Nature Portfolio
2021
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oai:doaj.org-article:7f6948aaa31a430f95715058c23d51e12021-12-02T13:30:28ZRotational hyperspectral scanner and related image reconstruction algorithm10.1038/s41598-021-82819-82045-2322https://doaj.org/article/7f6948aaa31a430f95715058c23d51e12021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82819-8https://doaj.org/toc/2045-2322Abstract We design and implement a compact and lightweight hyperspectral scanner. Based on this, a novel rotational hyperspectral scanner was demonstrated. Different from translational scanning, rotational scanning is a moveless and stable scanning method. We also designed a relevant image algorithm to reconstruct the image from an angular recorded hyperspectral data cube. The algorithm works well even with uncertain radial and tangential offset, which is caused by mechanical misalignment. The system shown a spectral resolution of 5 nm after calibration. Finally, spatial accuracy and spectral precision were discussed, based on some additional experiments.Longqiang LuoShuo LiXinli YaoSailing HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Longqiang Luo Shuo Li Xinli Yao Sailing He Rotational hyperspectral scanner and related image reconstruction algorithm |
description |
Abstract We design and implement a compact and lightweight hyperspectral scanner. Based on this, a novel rotational hyperspectral scanner was demonstrated. Different from translational scanning, rotational scanning is a moveless and stable scanning method. We also designed a relevant image algorithm to reconstruct the image from an angular recorded hyperspectral data cube. The algorithm works well even with uncertain radial and tangential offset, which is caused by mechanical misalignment. The system shown a spectral resolution of 5 nm after calibration. Finally, spatial accuracy and spectral precision were discussed, based on some additional experiments. |
format |
article |
author |
Longqiang Luo Shuo Li Xinli Yao Sailing He |
author_facet |
Longqiang Luo Shuo Li Xinli Yao Sailing He |
author_sort |
Longqiang Luo |
title |
Rotational hyperspectral scanner and related image reconstruction algorithm |
title_short |
Rotational hyperspectral scanner and related image reconstruction algorithm |
title_full |
Rotational hyperspectral scanner and related image reconstruction algorithm |
title_fullStr |
Rotational hyperspectral scanner and related image reconstruction algorithm |
title_full_unstemmed |
Rotational hyperspectral scanner and related image reconstruction algorithm |
title_sort |
rotational hyperspectral scanner and related image reconstruction algorithm |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/7f6948aaa31a430f95715058c23d51e1 |
work_keys_str_mv |
AT longqiangluo rotationalhyperspectralscannerandrelatedimagereconstructionalgorithm AT shuoli rotationalhyperspectralscannerandrelatedimagereconstructionalgorithm AT xinliyao rotationalhyperspectralscannerandrelatedimagereconstructionalgorithm AT sailinghe rotationalhyperspectralscannerandrelatedimagereconstructionalgorithm |
_version_ |
1718392925089431552 |