Objective
The aim of this project is to develop, validate and apply a versatile instrument and software package for automatised identification and quantification of biomasses in the marine microplankton. Presently, these tasks rely on laborious manual microscopy. Consequently, biological parameters are often undersampled in oceanographic studies, and biological data handling lags months behind sampling, rendering an interactive sampling strategy not feasible.
Digital image analysis will be applied to video images of planktonic micro-organisms, obtained by microscopy. Routines will be developed to facilitate discrimination, identification/classification, enumeration and sizing of organisms. Neural network computing will be utilised to enable a morphologically-based classification of objects in digitized imagery, a classification which is in accordance with the accumulated taxonomic experience rather than being an alternative to it. The versatility of the image analysis will be evaluated through an intercalibration study on circulated samples and through joint application studies. A user-interface will be developed to facilitate training and quality assurance.
This project will initialise a European network for intercalibration and validation of identification and quantification of biomasses in the marine plankton. The achievement of the goals of this project will enable faster acquisition of quantitative biomass data in the study and monitoring of marine pelagic environments, leading to an improved understanding of the structure and functions of marine pelagic ecosystems and providing a better data base for numerical modelling.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences media and communications graphic design
- natural sciences physical sciences optics microscopy
- natural sciences biological sciences ecology ecosystems
- natural sciences biological sciences microbiology
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
4000 ROSKILDE
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.