A1 Journal article (refereed)
A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python (2021)


Riihiaho, Kimmo Aukusti; Eskelinen, Matti Aleksanteri; Pölönen, Ilkka (2021). A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python. Sensors, 21 (4), 1072. DOI: 10.3390/s21041072


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Publication details

All authors or editors: Riihiaho, Kimmo Aukusti; Eskelinen, Matti Aleksanteri; Pölönen, Ilkka

Journal or series: Sensors

eISSN: 1424-8220

Publication year: 2021

Volume: 21

Issue number: 4

Article number: 1072

Publisher: MDPI AG

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.3390/s21041072

Open Access: Publication published in an open access channel

Publication channel open access:

Publication open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/74079


Abstract

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.


Keywords: spectral imaging; research instruments; optical instruments; computer programmes; open source code

Free keywords: spectral smile; optical aberration; aberration correction; do it yourself; open-source; hyperspectral imager


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Preliminary JUFO rating: 1


Last updated on 2021-10-02 at 09:56