Mr. Mathieu Dupoy Profile

Mathieu Dupoy

at CEA-LETI

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 13 March 2024 Presentation

Antibiotic susceptibility testing by infrared multispectral imaging : identification of optimal wavelengths

Stéphan Pissot, Mathieu Dupoy, Pierre Marcoux

Proceedings Volume PC12846, PC128460E (2024) https://doi.org/10.1117/12.3001548

KEYWORDS: Multispectral imaging, Infrared radiation, Infrared imaging, FT-IR spectroscopy, Spectroscopy, Bacteria, Resistance, Mode conditioning cables, Proteins, Light absorption

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Proceedings Article | 16 March 2023 Presentation + Paper

Mid-infrared digital holography imaging in aqueous media

M. Beurrier-Bousquet, M. Dupoy, L. Frey, I. Wang

Proceedings Volume 12391, 1239108 (2023) https://doi.org/10.1117/12.2646981

KEYWORDS: Water, Spectroscopy, Phase shifts, Biological samples, Absorption spectroscopy, FT-IR spectroscopy, Absorbance, Molecules, Refractive index, Mid infrared, Microbolometers, Quantum cascade lasers

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Proceedings Article | 5 March 2021 Presentation

Multispectral lensless imaging in the mid-infrared for label-free identification of Staphylococcus species

Joel Le Galudec, Mathieu Dupoy, Pierre Marcoux

Proceedings Volume 11655, 116551E (2021) https://doi.org/10.1117/12.2578264

KEYWORDS: Multispectral imaging, Mid-IR, Microorganisms, Chemical analysis, Biological research, Visualization, Statistical analysis, Solid state physics, Quantum cascade lasers

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Proceedings Article | 5 March 2021 Presentation + Paper

MID infrared multispectral imaging for tumor tissue detection

G. Mathieu, M. Dupoy, S. Bonnet, V. Rebuffel, J-L. Coll, M. Henry

Proceedings Volume 11647, 116471A (2021) https://doi.org/10.1117/12.2577221

KEYWORDS: Tissues, Tumors, Mid-IR, Multispectral imaging, Cancer, Statistical analysis, Quantum cascade lasers, Photonics, Neural networks, Machine learning

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Proceedings Article | 1 April 2020 Presentation + Paper

Mid-infrared multispectral lensless imaging for wide-field and label-free microbial identification

Joël Le galudec, Mathieu Dupoy, Véronique Rebuffel, Pierre Marcoux

Proceedings Volume 11359, 113590B (2020) https://doi.org/10.1117/12.2557502

KEYWORDS: Multispectral imaging, Bacteria, Mid-IR, Databases, Infrared imaging, Bolometers, Biological research, Transmittance, Quantum cascade lasers, Light sources

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Microbial identification is a critical process aiming at identifying the species contained in a biological sample, with applications in healthcare, industry or even national security. Traditionally, this process relies either on MALDI-TOF mass spectroscopy, on biochemical tests and on the observation of the morphology of colonies after growth on a Petri dish. Here is presented an innovative method for label-free optical identification of pathogens, based on the multispectral infrared imaging of colonies. This lensless imaging technique enables a high-throughput analysis and wide-field analysis of agar plates. It could yield very high correct identification rates as it relies on an optical fingerprint gathering both spectroscopic and morphologic features. The setup consists of a Quantum Cascade Lasers light source and an imager, a square 2.72 by 2.72 mm uncooled bolometer array. Microorganisms to be analyzed are streaked on a porous growth support compatible with infrared imaging, laid on top of an agar plate for incubation. When imaging is performed, growth support is put in close contact with the imaging sensor and illuminated at different wavelengths. After acquisition, an image descriptor based on spectral and morphological features is extracted for each microbial colony. Supervised classification is finally performed with a Support Vector Machine algorithm and tested with tenfold cross-validation. A first database collecting 1012 multispectral images of colonies belonging to five different species has already been acquired with this system, resulting in a correct identification rate of 92%. For these experiments, multispectral images are acquired at nine different wavelengths, between 5.6 and 8 μm. Considering the optimization possibilities of the image descriptors currently used and the ongoing development of the uncooled bolometers technology, these very first results are promising and could be dramatically improved with further experiments. Thereby, mid-infrared multispectral lensless imaging has the potential to become a fast and precise Petri dish analysis technology.

Proceedings Article | 1 March 2019 Paper

Laser cooling of solids: towards biomedical applications

Quentin Mermillod, Johan Cazals, Alain Glière, Mathieu Dupoy, Nicolas Aubert, Stephan Chabardès

Proceedings Volume 10936, 109360M (2019) https://doi.org/10.1117/12.2507828

KEYWORDS: Crystals, Luminescence, Absorption, Ytterbium, Biomedical optics, Solids, Brain, Liquids, Epilepsy, Photons, Optical cooling

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Proceedings Article | 16 February 2017 Paper

Multiplexing photonic devices integrated on a silicon/germanium platform for the mid-infrared

P. Labeye, A. Koshkinbayeva, M. Dupoy, P. Barritault, O. Lartigue, M. Fournier, J.-M. Fedeli, S. Boutami, S. Garcia, S. Nicoletti, L. Duraffourg

Proceedings Volume 10106, 101060Y (2017) https://doi.org/10.1117/12.2256224

KEYWORDS: Silicon, Waveguides, Mid-IR, Gas sensors, Atmospheric sensing, Multiplexing, Photonic devices, Photodetectors, Germanium, Silicon photonics, Quantum cascade lasers, Multiplexers, Carbon monoxide, Gas lasers, Sensors

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SPIE Journal Paper | 12 February 2014 Open Access

Direct identification of clinically relevant bacterial and yeast microcolonies and macrocolonies on solid culture media by Raman spectroscopy

Isabelle Espagnon, Denis Ostrovskii, Raphael Mathey, Mathieu Dupoy, Pierre Joly, Armelle Novelli-Rousseau, Fredric Pinston, Olivier Gal, Frédéric Mallard, Denis Leroux

JBO, Vol. 19, Issue 02, 027004, (February 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.2.027004

KEYWORDS: Raman spectroscopy, Yeast, Signal to noise ratio, Solids, Databases, Bacteria, Principal component analysis, Microorganisms, Luminescence, Confocal microscopy

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Proceedings Article | 5 March 2013 Paper

Towards an easy-to-use tuberculosis diagnosis through exhaled breath analysis: a liquid fluorimeter with an excitation at 265 nm

J. Hue, M. Dupoy, S. Vignoud, J. Ricaud, T. Tran-Thi, S. Karpe, A. Novelli-Rousseau, F. Mallard

Proceedings Volume 8570, 85700N (2013) https://doi.org/10.1117/12.2000553

KEYWORDS: Luminescence, Optical filters, Liquids, Signal detection, Optical fibers, Charge-coupled devices, Fluorescence spectroscopy, CCD cameras, Diagnostics, Magnesium

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