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Completed HORIZON European Commission

SENSING USING QUANTUM OCT WITH AI

€6.44M EUR

Funder European Commission
Recipient Organization Nkt Photonics A/S
Country Denmark
Start Date Nov 01, 2022
End Date Oct 31, 2025
Duration 1,095 days
Number of Grantees 11
Roles Participant; Coordinator
Data Source European Commission
Grant ID 101070062
Grant Description

OCT is a key imaging technology, allowing non-contact high resolution 3D imaging which has helped to save the sight of millions of people. However, progress has stalled since reaching the axial resolution (dz) limit of 1 um. Quantum OCT (QOCT) offers a step change x2 improvement in dz and greatly reduces dispersion.

In addition, control of orbital angular momentum (OAM) reduces noise and improves edge and surface profile definition and discrimination of chiral objects.

SEQUOIA will deliver the highest resolution OCT system ever built, protected from noise by artificial intelligence (AI) based OAM control in a real-world application: retinal imaging.Underpinning SEQUOIA is an ultra-stable, ultra-low noise comb source of unprecedented bandwidth (250-400 nm) which builds on NKTs world-leading supercontinuum sources and adds new PTB techniques for stabilisation and noise control.AI-based algorithms (UPV) will be used at TUD to program spatial light modulators to encode high purity high-dimensional OAM onto the QOCT beams to increase resilience to noise and improve imaging quality.MPD will deliver new single-photon avalanche diode arrays specifically tailored for quantum imaging, to perform photon coincidence correlation at an unprecedented rate.NORs world-leading classical OCT software will be extended to create the first ever QOCT software.Theoretical work at NCU will develop the first mathematical models of noise in QOCT to optimise the spontaneous parametric downconversion.PTB will perform metrological characterisation of all relevant parameters and DTU will quantify the QOCT advantage over classical OCT.Retinal imaging using stable test standards from WWU will be performed, with automated AI-algorithms (UPV) to compare performance with classical OCT.ARD will perform a detailed techno-economic and social life cycle analyses to evaluate future markets and impacts.

VIV will coordinate an extensive dissemination programme with a high-profile Advisory Board.

All Grantees

Universitaet Muenster; Association Pour la Recherche Et Ledeveloppement D'Innovations Et Detechnologies Pour la Protection Del'Heritage Environnemental, Social; Micro Photon Devices Srl; Physikalisch-Technische Bundesanstalt; Norblis Aps; Nkt Photonics A/S; Danmarks Tekniske Universitet; Universitat Politecnica de Valencia; Vivid Components Germany Ug; Uniwersytet Mikolaja Kopernika W Toruniu; Technische Universiteit Delft

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