Lipid monitoring of Chlorella vulgaris using non-invasive near-infrared spectral imaging

Description

These data include hyperspectral images of microalgae cultivations, laboratory measurements of microalgae total lipid percentage and biomass, files for data processing and models to resolve total lipid percentage from the hyperspectral images.

Year of publication

2024

Type of data

Authors

University of Jyväskylä - Publisher

Bio- ja ympäristötieteiden laitos

Ruokolainen, Visa - Creator

Vihinen-Ranta, Maija - Creator

Informaatioteknologian tiedekunta

Calderini, Marco - Creator

Pääkkönen, Salli - Creator, Rights holder

Pölönen, Ilkka - Creator

Salmi, Pauliina - Creator

Yli-Tuomola, Aliisa - Creator

Project

Other information

Fields of science

Computer and information sciences; Plant biology, microbiology, virology; Other engineering and technologies

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

machine learning, computational science, monitoring, Hyperspectral imaging, microalgae, mikrolevät, koneoppiminen, green algae, Hyperspektrikuvantaminen, lipid percentage, lipidiprosentti, Nile red staining

Subject headings

Temporal coverage

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