Research project

Life in the fast lane: Revealing high-frequency plankton dynamics with multi-device imaging and open-set image classification
Elämää veden kiitoradalla: monilaitekuvantaminen ja kuvien luokittelu avoimella kuvajoukolla planktonin tiheän aikavälin muutosten tutkimuksessa

Project Details

Start date: 01/09/2021

End date: 31/08/2025



Academy of Finland


Plankton community ecology and ecosystem research is currently hampered by the bottleneck of acquiring species-level information from the communities due to the slow analysis with traditional microscopy. The FASTVISION-plus consortium will combine front-line plankton imaging instrumentation and taxonomic expertise of the Finnish Environment Institute and the computer vision and image analysis excellence of the Lappeenranta-Lahti University of Technology. The project will use images of microscopic plankton provided by automated imaging instruments and other measurements to train image recognition software for species identification using multimodal machine learning approaches that produce interoperable data across instruments and habitats. This big data of plankton community composition, collected through experimental and field studies with an unprecedented high resolution, will be applied to testing key hypotheses in plankton community ecology, biodiversity and ecosystem functioning.


Biodiversity, Plankton community, Ecosystem functioning, Continuous monitoring, Automated multi-device imaging, Computer vision, Big data, Machine learning, Deep learning, Domain adaptation, Open-set classification, Multimodal data fusion

Last updated on 2021-05-08 at 15:37