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10 results on '"European Project: 950618,STREAMLINE"'

1. Ultra-sensitive Dispersive Fourier-Transform Characterization Technique

Author

Sader, Lynn, Bose, Surajit, Kashi, Anahita Khodadad, Boussafa, Yassin, Dauliat, Romain, Roy, Philippe, Fabert, Marc, Tonello, Alessandro, Couderc, Vincent, Kues, Michael, Wetzel, Benjamin, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Leibniz Universität Hannover=Leibniz University Hannover, ANR-20-CE30-0004,OPTIMAL,Optimisation des sources optiques ultra-rapides à large bande à l'aide de l'apprentissage automatique(2020), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; We report on a novel approach of dispersive Fourier transform-based measurements. Using multiple single photon detectors, we demonstrate the characterization of nonlinear noise-driven dynamics with ultra-high sensibility, resolution, and a theoretically unlimited dynamic range.

Published
2022

2. Optimisation des propriétés d’un supercontinuum par apprentissage automatique pour la microscopie multiphotonique

Author

Hoang, Van, Boussafa, Yassin, Sader, Lynn, Février, Sébastien, Couderc, Vincent, Wetzel, Benjamin, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Ce projet a été financé par le Conseil Européen de la Recherche (ERC) via le Programme de Recherche et d’Innovation Horizon 2020 GA No. 950618 (Projet STREAMLINE), par l’Agence Nationale de la Recherche ANR (ANR-20-CE30-0004) et par la Région Nouvelle-Aquitaine (ProjetsSCIR et SPINAL)., ANR-20-CE30-0004,OPTIMAL,Optimisation des sources optiques ultra-rapides à large bande à l'aide de l'apprentissage automatique(2020), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], apprentissage automatique, supercontinuum, [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], fibre optique, microscopie multiphotonique, [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; Nous étudions des approches innovantes d’apprentissage automatique afin d’optimiser les propriétés spectro-temporelles d’un supercontinuum fibré. Nous démontrons numériquement que l’ajustement d’un motif d’impulsions femtosecondes permet de maximiser le profil temporel à des longueurs d’onde pertinentes en imagerie multiphotonique.

Published
2022

3. Nouvelle technique ultra-sensible de caractérisation des instabilités non-linéaires par étirage temporel dispersif

Author

Sader, Lynn, Bose, Surajit, Kashi, Anahita, Dauliat, Romain, Roy, Philippe, Fabert, Marc, Tonello, Alessandro, Couderc, Vincent, Kues, Michael, Wetzel, Benjamin, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Leibniz Universität Hannover=Leibniz University Hannover, Ce projet a été financé par le Conseil Européen de la Recherche (ERC) via le Programme de Recherche et d’Innovation Horizon 2020 GA No. 950618 (Projet STREAMLINE) et No. 947603 (Projet QFreC), par l’Agence Nationale de la Recherche ANR (ANR-20-CE30-0004) par la Région Nouvelle-Aquitaine (Projets SCIR, SPINAL), par le Ministère Fédéral Allemand de l'Education et de la Recherche, par le programme Quantum Futur (PQuMAL), par la Fondation Allemande pour la Recherche (DFG) et dans le cadre de la stratégie d'excellence allemande au sein du Cluster of Excellence PhoenixD (EXC 2122, ID: 390833453)., and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Optique non-linéaire, [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], Instabilité de modulation, [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph], Optique quantique
Abstract

International audience; Nous rapportons une nouvelle technique de caractérisation basée sur la transformée de Fourier par étirage temporel dispersif, utilisant plusieurs détecteurs à photon unique. Nous montrons que cette approche permet l'analyse d'instabilités spectrales avec une haute résolution, une sensibilité élevée, et une plage dynamique théoriquement illimitée.

Published
2022

4. Scalable, Autonomous On-Chip Picosecond Pulse-Shaping Enabled by Smart Optimization

Author

Fischer, Bennet, Chemnitz, Mario, MacLellan, Benjamin, Roztocki, Piotr, Helsten, Robin, Wetzel, Benjamin, Little, Brent, Chu, Sai, Moss, David, Azaña, José, Morandotti, Roberto, Institut National de la Recherche Scientifique [Québec] (INRS), Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences [Xi’an], City University of Hong Kong [Hong Kong] (CUHK), Swinburne University of Technology (Hawthorn campus), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; We demonstrate a scalable, autonomous on-chip pulse shaping system based on temporal coherence synthesis. The inclusion of smart optimization algorithms enables robust, and reconfigurable pulse-shaping over a wide range of input and target durations.

Published
2022

5. Machine learning optimization of supercontinuum properties towards multiphoton microscopy

Author

Van Thuy Hoang, Yassin Boussafa, Lynn Sader, Sébastien Février, Vincent Couderc, Benjamin Wetzel, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), ANR-20-CE30-0004,OPTIMAL,Optimisation des sources optiques ultra-rapides à large bande à l'aide de l'apprentissage automatique(2020), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; We implement machine learning to optimize spectro-temporal properties of supercontinuum generation during nonlinear fiber propagation. In particular, we numerically study how the suitable adjustment of femtosecond pulse patterns can be leveraged to maximize the output spectral intensities and temporal waveforms at wavelengths relevant for multi-photon imaging.

Published
2022

6. On-Chip Temporal Coherence Synthesis for Classical and Quantum Waveform Processing

Author

Chemnitz, Mario, Fischer, Bennet, MacLellan, Benjamin, Roztocki, Piotr, Helsten, Robin, Wetzel, Benjamin, Little, Brent E., Chu, Sai T., Moss, David J., Azaña, José, Morandotti, Roberto, Institut National de la Recherche Scientifique [Québec] (INRS), Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Xi'an Institute of Optics and Precision Mechanics, City University of Hong Kong [Hong Kong] (CUHK), Swinburne University of Technology (Hawthorn campus), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; We use a low-loss, user-friendly on-chip interferometer cascade to exploit the concept of temporal coherence synthesis for the shaping of optical pulses and, first-time, of the joint spectral intensity of broadband correlated photon pairs.

Published
2022

7. Optimizing supercontinuum spectro-temporal properties by leveraging machine learning towards multi-photon microscopy

Author

Van Thuy Hoang, Yassin Boussafa, Lynn Sader, Sébastien Février, Vincent Couderc, Benjamin Wetzel, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Région Nouvelle-Aquitaine (SCIR & SPINAL projects), and European Project: 950618,STREAMLINE

Subjects
optical fiber, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, nonlinear optics, Physics::Optics, FOS: Physical sciences, General Medicine, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], machine learning, [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], solitons, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, supercontinuum generation, Physics - Optics, Optics (physics.optics), multi-photon microscopy
Abstract

Multi-photon microscopy has played a significant role in biological imaging since it allows to observe living tissues with improved penetration depth and excellent sectioning effect. Multi-photon microscopy relies on multi-photon absorption, enabling the use of different imaging modalities that strongly depends on the properties of the sample structure, the selected fluorophore and the excitation laser. However, versatile and tunable laser excitation for multi-photon absorption is still a challenge, limited by e.g. the narrow bandwidth of typical laser gain medium or by the tunability of wavelength conversion offered by optical parametric oscillators or amplifiers. As an alternative, supercontinuum generation can provide broadband excitationspanning from the ultra-violet to far infrared domains and integrating numerous fluorophore absorption peaks, in turn enabling different imaging modalities or potential multiplexed spectroscopy. Here, we report on the use of machine learning to optimize the spectro-temporal properties of supercontinuum generation in order to selectively enhance multi-photon excitation signals compatible with a variety of fluorophores (or modalities) for multi-photon microscopy. Specifically, we numerically explore how the use of reconfigurable (femtosecond) pulse patterns can be readily exploited to control the nonlinear propagation dynamics and associated spectral broadening occurring in a highly-nonlinear fiber. In this framework, we show that the use of multiple pulses to seed optical fiber propagation can trigger a variety of nonlinear interactions and complex propagation scenario. This approach, exploiting the temporal dimension as an extended degree of freedom, is used to maximize typical multi-photon excitations at selected wavelengths, here obtained in a versatile and reconfigurable manner suitable for imaging applications., Comment: Submitted version - Under review

Published
2022
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8. Frequency-to-time Mapping-Assisted Spectral Characterization of Parametric Biphoton States

Author

Kashi, Anahita Khodadad, Wetzel, Benjamin, Kues, Michael, Leibniz Universität Hannover=Leibniz University Hannover, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; A frequency-to-time mapping technique is employed to directly characterize the biphoton state from a pulsed spontaneous parametric process. For the first time a Hanbury Brown and Twiss measurement is performed directly in the frequency domain.

Published
2022

9. Ultra-sensitive characterization of nonlinear instabilities via single photon dispersive Fourier-transform

Author

Sader, Lynn, Bose, Surajit, Kashi, Anahita Khodadad, Dauliat, Romain, Roy, Philippe, Fabert, Marc, Tonello, Alessandro, Couderc, Vincent, Kues, Michael, Wetzel, Benjamin, Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Leibniz Universität Hannover=Leibniz University Hannover, ANR-20-CE30-0004,OPTIMAL,Optimisation des sources optiques ultra-rapides à large bande à l'aide de l'apprentissage automatique(2020), and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; We report on a new dispersive Fourier transform-based characterization technique, using multiple single photon detectors, which allows the analysis of spectral instabilities with high resolution, high sensitivity, and theoretically unlimited dynamic range.

Published
2022

10. User-friendly, reconfigurable all-optical signal processing with integrated photonics

Author

Bennet Fischer, Mario Chemnitz, Benjamin Wetzel, Piotr Roztocki, Benjamin MacLellan, Christian Reimer, Brent Little, Sai Chu, Evgeny Viktorov, David Moss, Michael Kues, Jose Azana, Alessia Pasquazi, Marco Peccianti, Roberto Morandotti, Institut National de la Recherche Scientifique [Québec] (INRS), Photonique Fibre et Sources Cohérentes (XLIM-PHOT), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences [Xi’an], City University of Hong Kong [Hong Kong] (CUHK), ITMO University [Russia], Swinburne University of Technology (Hawthorn campus), Leibniz Universität Hannover=Leibniz University Hannover, University of Sussex, and European Project: 950618,STREAMLINE

Subjects
[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS], [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]
Abstract

International audience; The development of reconfigurable, integrated all-optical signal processors on will enable low-cost and accessible platforms for key technologies such as bio-medical imaging, telecommunications and quantum optics. We demon-strate, that simple, user-friendly, programmable integrated circuits in combination with evolutionary optimization al-gorithms can constitute an essential pillar in the field of smart-photonics.

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