AMIME – Artificial intelligence-assisted plankton Monitoring with Imaging flow cytometry and MEtabarcoding

The aim of the project is to improve environmental monitoring of marine phytoplankton and microzooplankton using AI-assisted automated imaging in-flow system and eDNA-metabarcoding. Samples are collected in the Baltic Sea and the Kattegat using underway flow through system on R/V Svea.

SMHI is involved in field work, analyses of results from Imaging FlowCytobot and from DNA metabarcoding.