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dc.contributor.authorSalmi, Pauliina
dc.contributor.authorEskelinen, Matti A.
dc.contributor.authorLeppänen, Matti T.
dc.contributor.authorPölönen, Ilkka
dc.date.accessioned2020-09-03T10:58:35Z
dc.date.available2020-09-03T10:58:35Z
dc.date.issued2020fi
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/71623
dc.description.abstractSpectral cameras are traditionally used in remote sensing of algae but increasingly also in laboratory-scale applications to study and monitor algae biomass in cultures. The purpose of this study was to test a miniaturized mobile hyperspectral camera and vegetation indices to quantify algae in liquid samples. This investigation consisted of two experiments. In the first, we monitored growth of five algae strains with the hyperspectral camera and electronic cell counter. In the second, we compared the spectral camera to chlorophyll fluorometry in quantifying green algae in a standard toxicity test. From the hyperspectral data cubes obtained from the two experiments, we calculated all the possible indices formulated as A/B, A/(A+B) or (A-B)/(A+B), where A and B were wavebands of the hyperspectral camera. Spectral camera-based approach and the reference assessments (wet biomass and chlorophyll fluorescence) correlated strongly. However, wavebands and indices that yielded the strongest correlations were different for each strain, and their pairwise mixtures. Ratios of the selected wavebands turned out to be powerful indices because those were simple, yet indifferent to small fluctuations in light conditions of separate sampling dates that appeared despite normalizing transmittance images to illumination. We suggest that laboratory-based transmission imaging could supplement current methodology in algae research and monitoring of culture growth. In the future studies, the protocol demonstrated here, could be tested to study the effects of varying cultivation conditions and growth phase on algae’s spectral signatures.fi
dc.publisherUniversity of Jyväskylä, Open Science Centre. jyx@jyu.fi
dc.rightsCC-BY 4.0
dc.titleOriginal data for study: Quantifying algae cultures with hyperspectral imaging using vegetation indicesfi
dc.typedataset
dc.identifier.urnURN:NBN:fi:jyu-202009035740
dc.identifier.doi10.17011/jyx/dataset/71623
dc.rights.copyright© Pauliina Salmi, Matti A. Eskelinen, Matti T. Leppänen, Ilkka Pölönen and University of Jyväskylä
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