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A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python

Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical...

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Autores principales: Riihiaho, Kimmo Aukusti, Eskelinen, Matti Aleksanteri, Pölönen, Ilkka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915091/
https://www.ncbi.nlm.nih.gov/pubmed/33557263
http://dx.doi.org/10.3390/s21041072
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author Riihiaho, Kimmo Aukusti
Eskelinen, Matti Aleksanteri
Pölönen, Ilkka
author_facet Riihiaho, Kimmo Aukusti
Eskelinen, Matti Aleksanteri
Pölönen, Ilkka
author_sort Riihiaho, Kimmo Aukusti
collection PubMed
description Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, and, for those readers interested in building their own HSI, we provide print-ready and modifiable versions of the 3D-models required in manufacturing the imager. To our best knowledge, solving the spectral smile correction problem without an optical laboratory has not been previously reported. This study re-solved the problem with simpler and cheaper tools than those commonly utilized. We hope that this study will promote easier access to hyperspectral imaging for all audiences regardless of their financial status and availability of an optical laboratory.
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spelling pubmed-79150912021-03-01 A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python Riihiaho, Kimmo Aukusti Eskelinen, Matti Aleksanteri Pölönen, Ilkka Sensors (Basel) Article Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, and, for those readers interested in building their own HSI, we provide print-ready and modifiable versions of the 3D-models required in manufacturing the imager. To our best knowledge, solving the spectral smile correction problem without an optical laboratory has not been previously reported. This study re-solved the problem with simpler and cheaper tools than those commonly utilized. We hope that this study will promote easier access to hyperspectral imaging for all audiences regardless of their financial status and availability of an optical laboratory. MDPI 2021-02-04 /pmc/articles/PMC7915091/ /pubmed/33557263 http://dx.doi.org/10.3390/s21041072 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Riihiaho, Kimmo Aukusti
Eskelinen, Matti Aleksanteri
Pölönen, Ilkka
A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python
title A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python
title_full A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python
title_fullStr A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python
title_full_unstemmed A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python
title_short A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python
title_sort do-it-yourself hyperspectral imager brought to practice with open-source python
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915091/
https://www.ncbi.nlm.nih.gov/pubmed/33557263
http://dx.doi.org/10.3390/s21041072
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