Lipid monitoring of Chlorella vulgaris using non-invasive near-infrared spectral imaging
Pääkkönen, Salli; Calderini, Marco; Pölönen, Ilkka; Yli-Tuomola, Aliisa; Ruokolainen, Visa; Vihinen-Ranta, Maija; Salmi, Pauliina. Lipid monitoring of Chlorella vulgaris using non-invasive near-infrared spectral imaging . V. 26.8.2024. University of Jyväskylä. https://doi.org/https://doi.org/10.23729/96494a42-bc7f-4e0f-9310-8ac8babae9b4.
JYU authors:
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All authors: Pääkkönen, Salli; Calderini, Marco; Pölönen, Ilkka; Yli-Tuomola, Aliisa; Ruokolainen, Visa; Vihinen-Ranta, Maija; Salmi, Pauliina
Funders: Research Council of Finland; Business Finland
Right-holders:
Availability and identifiers
Availability: Direct download
DOI identifier in original repository: https://doi.org/https://doi.org/10.23729/96494a42-bc7f-4e0f-9310-8ac8babae9b4
Description of the dataset
Language: English
Free keywords: Hyperspectral imaging, microalgae, lipid percentage, machine learning, Nile red staining
Keywords (YSO): green algae; hyperspectral imaging; lipids; monitoring; computational science
Fields of science: 222 Other engineering and technologies; 1183 Plant biology, microbiology, virology; 113 Computer and information sciences
Follow-up groups: Computational Science (Faculty of Information Technology IT) LASK; Cell and Molecular Biology (Department of Biological and Environmental Science BIOENV) SMB; Nanoscience Center (Department of Physics PHYS, JYFL) (Faculty of Mathematics and Science) (Department of Chemistry CHEM) (Department of Biological and Environmental Science BIOENV) NSC; Aquatic Sciences (Department of Biological and Environmental Science BIOENV) WET; School of Resource Wisdom (University of Jyväskylä JYU) JYU.Wisdom
Do you deal with data concerning special categories of personal data in your research?: No
Projects related to dataset
- Next level process integration in microalgae biotechnology with digital applications
- Salmi, Pauliina
- Research Council of Finland
- Robust Algae Systems
- Salmi, Pauliina
- Business Finland