BIO-OPTICAL PROPERTIES OF MICROALGAE IN ENVIRONMENTAL MONITORING
AND RESEARCH (algae optics)
Main funder
Funder's project number: 321780
Funds granted by main funder (€)
- 247 821,00
Funding program
Project timetable
Project start date: 01/09/2019
Project end date: 31/08/2022
Summary
In the changing world the need for comprehensive but cost-effective and digital information is urgent. Microalgae are principal targets for ocean and lake monitoring since their composition reflect the prevailing environmental conditions. Further, microalgae have properties that can be detected by imagers. However, the information that microalgae could provide is underexploited due to limitations of temporal, spatial and volumetric resolutions of the available protocols. I aim to harness the optical properties of microalgae to form a scalable and robust monitoring protocol. The core of the proposed method is to identify and quantify microalgae by hyperspectral imaging of samples. I will use microscopy, chromatography and cytometry to calibrate and verify the hyperspectral analysis. I will also test if optical properties are linked to the microalgae life stage by carrying out field studies of the under-ice environment - one of the least known environments in the boreal and arctic.
Principal Investigator
Primary responsible unit
Related publications and other outputs
- Resolving phytoplankton pigments from spectral images using convolutional neural networks (2024) Salmi, Pauliina; et al.; A1; OA
- Eutrophication effect on production and transfer of omega-3 fatty acids in boreal lake food webs (2023) Calderini, Marco L.; et al.; A1; OA
- Temperature, phosphorus and species composition will all influence phytoplankton production and content of polyunsaturated fatty acids (2023) Calderini, Marco L.; et al.; A1; OA
- Assessment of microalgae species, biomass, and distribution from spectral images using a convolution neural network (2022) Salmi, Pauliina; et al.; A1; OA
- Metabolic plasticity of mixotrophic algae is key for their persistence in browning environments (2022) Calderini, Marco L.; et al.; A1; OA
- Rapid Quantification of Microalgae Growth with Hyperspectral Camera and Vegetation Indices (2021) Salmi, Pauliina; et al.; A1; OA
- Variation in ω-3 and ω-6 Polyunsaturated Fatty Acids Produced by Different Phytoplankton Taxa at Early and Late Growth Phase (2020) Taipale, Sami; et al.; A1; OA
Related research datasets
- Assessment of microalgae species, biomass and distribution from spectral images using a convolution neural network (2021) Salmi, Pauliina; et al.
- Temperature, phosphorus, and species composition will all influence phytoplankton synthesis and content of polyunsaturated fatty acids (complete dataset) (2023) Calderini, Marco; et al.
- Temperature, phosphorus, and species composition will all influence phytoplankton synthesis and content of polyunsaturated fatty acids (dataset) (2023) Calderini, Marco; et al.
