Project description
Training networks for the exploration of tissue dynamics
Imaging methods have enabled the acquisition of millions of cell images, contributing to the improved understanding of organism development, homeostasis and pathology. The full potential of modern imaging methods could be reached only when robust, cost-effective and user-friendly methods are broadly available to obtain important information from the enormous amounts of data generated. The EU-funded O-NEAT project aims to implement a deep learning-based technology that uses these data for training networks to automatically and reproducibly explore tissue dynamics. It could enable researchers in academia and the private sector to quickly and reliably extract information regarding cell dynamics in normal or pathological conditions, providing significant potential market applications.
Objective
Imaging methods enabling the acquisition of millions of cell contours have opened the path for improved understanding of development, repair, homeostasis and pathology. The full potential of such imaging methods can only be reached when robust, cost-effective and user-friendly methods are democratized to extract important information from the huge amounts of data generated. Our project aims to implement a disruptive deep-learning based technology, O-NEAT, that uses these masses of data for training neural networks to automatically and reproducibly explore tissue dynamics. This would enable researchers in academia and the private sector to quickly and reliably extract information regarding cell dynamics in normal or pathological conditions thus having significant potential market applications.
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.
- medical and health sciences basic medicine pathology
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- medical and health sciences basic medicine physiology homeostasis
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
ERC-POC - Proof of Concept Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2019-PoC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75794 PARIS
France
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.