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
- social sciencespolitical sciencespolitical transitionsrevolutions
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencesbiological scienceshistology
- natural sciencesphysical sciencesopticsnonlinear optics
- natural sciencesphysical sciencesopticslaser physics
Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting GrantHost institution
75794 Paris
France