Project description
New optical processing techniques for disruptive imaging and metrology
A promising new research field merging ultrafast nonlinear optics and computational imaging is on the horizon. By combining integrated and fibred optical components, it will be possible to explore new multimode and input-dependent nonlinear dynamics via dedicated machine learning schemes. This is the aim of the EU-funded STREAMLINE project, which constitutes an ambitious multidisciplinary programme to push forward the development of smart photonic sources. Photonic systems today rely mainly on complex nonlinear optical processes at the foundation of demanding applications spanning advanced light source development, metrology and imaging. However, ways of controlling nonlinear phenomena and interactions is rather restricted, while reaching the ideal settings for a specific application can be challenging. STREAMLINE will change this by offering disruptive optical processing techniques capable of enabling innovative imaging and metrology approaches.
Objective
Modern photonic systems increasingly rely on complex nonlinear optical processes at the foundation of demanding applications spanning advanced light source development, metrology and imaging. Importantly, current flagship imaging systems are based on nonlinear light-matter interactions provided by specialized lasers requiring complex operation and lacking tunability: means of controlling nonlinear phenomena and interactions are restricted, and reaching the ideal settings for a specific application can prove extremely challenging.
In this context, optical excitations can be inefficient (with e.g. excessive power or spectral coverage) and versatile means to drive coherent control of light properties are highly sought-after, for they provide the main building blocks for advanced imaging techniques. However, such control is currently constrained to few degrees of freedom provided by complex components ultimately hindering the accessible optical parameter space.
The realization of versatile, efficient and practical optical sources in compact forms would thus represent a fundamental revolution.
STREAMLINE constitutes an ambitious multidisciplinary program aiming to push forwards the development of 'smart photonic sources' for the creation of a promising new research field merging ultrafast nonlinear optics and computational imaging. The envisioned architecture, combining integrated and fibered components, will explore new multimode and input-dependent nonlinear dynamics via dedicated machine-learning schemes.
Together with suitable monitoring techniques, fully reconfigurable and tailored optical wavepackets (with on-demand spectral, temporal and spatial properties), will be exploited towards disruptive nonlinear imaging and metrology techniques. Besides providing user-friendly operation with improved performances, blueprint dynamical imaging with custom light-matter interactions will unlock access to novel deep-learning strategies towards biological sample histology.
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 political sciences political transitions revolutions
- natural sciences biological sciences histology
- natural sciences physical sciences optics laser physics
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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)
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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-STG - Starting 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-2020-STG
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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.