Dr. Fabien Momey Profile

Dr. Fabien Momey

at Lab Hubert Curien

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Author

Publications (9)

Proceedings Article | 3 April 2020 Presentation

Building an inverse approach for the reconstruction of in-line holograms: a parallel with Fienup’s phase retrieval technique (Conference Presentation)

Fabien Momey, Loïc Denis, Thomas Olivier, Corinne Fournier

Proceedings Volume 11351, 113510X (2020) https://doi.org/10.1117/12.2559085

KEYWORDS: Holograms, Phase retrieval, Inverse problems, Data modeling, Reconstruction algorithms, Image processing, Diffraction, Optimization (mathematics), Convex optimization, Physics

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In this paper, we propose to present the general ingredients involved in an inverse problems methodology dedicated to the reconstruction of in-line holograms, and compare it with the classical Gercherg-Saxton or Fienup alternating projections strategies for phase retrieval [1,2,3]. An inverse approach [4,5] consists in retrieving an optimal solution to a reconstruction/estimation problem from a dataset, knowing an approximate model of its formation process. The problem is generally formulated as an optimization problem that aims at fitting the model to the data, while favoring a priori knowledge on the targeted information using regularizations and constraints. An appropriate resolution method has to be designed, based on a convex optimization framework. We develop the end-to-end inverse problems methodology on a case-study : the reconstruction of an in-line hologram of a collection of weakly dephasing objects. This simple problem allows us to explain current physical considerations (type of objects, diffraction physics) to derive the appropriate model, and to present classical constraints and regularizations that can be used in image reconstruction. Starting from these ingredients, we introduce a simple yet efficient method to solve this inverse problem, belonging to the class of proximal gradient algorithms [6,7]. A special focus is made on the connections between the numerous alternating projections strategies derived from Fienup’s phase retrieval technique and the inverse problems framework. In particular, an interpretation of Fienup’s algorithm as iterates of a proximal gradient descent for a particular cost function is given. We discuss the advantages provided by the inverse problems methodology. We illustrate both strategies on reconstructions from simulated and experimental holograms of micrometric beads. The results show that the transition from alternating projection techniques to the inverse problems formulation is straightforward and advantageous.

Proceedings Article | 24 May 2018 Presentation + Paper

Improving color lensless microscopy reconstructions by self-calibration

Olivier Flasseur, Frédéric Jolivet, Fabien Momey, Loïc Denis, Corinne Fournier

Proceedings Volume 10677, 106771A (2018) https://doi.org/10.1117/12.2300005

KEYWORDS: Sensors, Opacity, Semiconductor lasers, Optical filters, Reconstruction algorithms, Digital holography, Color image processing

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Proceedings Article | 24 May 2018 Paper

Quantitative phase retrieval reconstruction from in-line hologram using a new proximal operator: application to microscopy of bacteria and tracking of droplets

Fabien Momey, Frédéric Jolivet, Loïc Denis, Corinne Fournier, Loïc Méès, Nicolas Faure, Frédéric Pinston

Proceedings Volume 10677, 106770M (2018) https://doi.org/10.1117/12.2311312

KEYWORDS: Holograms, Inverse problems, Phase retrieval, Reconstruction algorithms, Microscopy, Digital holography, Inverse imaging problems, Phase imaging, Fluid dynamics, Microbiology

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Proceedings Article | 28 July 2017 Paper

3D lens-free time-lapse microscopy for 3D cell culture

Anthony Berdeu, Fabien Momey, Bastien Laperrousaz, Thomas Bordy, Xavier Gidrol, Jean-Marc Dinten, Nathalie Picollet-D'hahan, Cédric Allier

Proceedings Volume 10414, 104140C (2017) https://doi.org/10.1117/12.2284778

KEYWORDS: Microscopy, Time lapse microscopy, Digital holography

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Proceedings Article | 17 February 2017 Paper

Lensfree diffractive tomography for the imaging of 3D cell cultures

Anthony Berdeu, Fabien Momey, Jean-Marc Dinten, Xavier Gidrol, Nathalie Picollet-D'hahan, Cédric Allier

Proceedings Volume 10070, 1007008 (2017) https://doi.org/10.1117/12.2250152

KEYWORDS: Tomography, Holography, Inverse problems, Microscopy, 3D acquisition, 3D image processing, Microscopes, Algorithm development, Reconstruction algorithms, 3D modeling, Phase retrieval, Diffraction, Sensors

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Proceedings Article | 16 July 2015 Paper

Lensfree video microscopy: high throughput monitoring and cell tracking of 2D cell cultures

C. Allier, S. Vinjimore Kesavan, O. Cioni, F. Momey, T. Bordy, L. Hervé, S. Morel, F. Navarro, M. Menneteau, B. Chalmond, D. Freida, E. Sulpice, X. Gidrol, J.-M. Dinten

Proceedings Volume 9536, 95360J (2015) https://doi.org/10.1117/12.2183468

KEYWORDS: Detection and tracking algorithms, Video microscopy, Video, Image segmentation, Microscopes, Signal to noise ratio, Holography, Cell death, Time metrology, Reconstruction algorithms

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Proceedings Article | 2 March 2015 Paper

Dynamics of cell and tissue growth acquired by means of 25 mm² to 10 cm² lensfree imaging

F. Momey, J.-G. Coutard, T. Bordy, F. Navarro, Mathilde Menneteau, J.-M. Dinten, C. Allier

Proceedings Volume 9328, 93281A (2015) https://doi.org/10.1117/12.2076149

KEYWORDS: Wound healing, Video, Cameras, Tissues, Video microscopy, CMOS sensors, Scanners, Real time imaging, Microscopes, Light emitting diodes

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Proceedings Article | 4 March 2014 Paper

Video lensfree microscopy of 2D and 3D culture of cells

C. Allier, S. Vinjimore Kesavan, J.-G. Coutard, O. Cioni, F. Momey, F. Navarro, M. Menneteau, B. Chalmond, P. Obeid, V. Haguet, B. David-Watine, N. Dubrulle, S. Shorte, B. van der Sanden, C. Di Natale, L. Hamard, D. Wion, M. Dolega, N. Picollet-D'hahan, X. Gidrol, J.-M. Dinten

Proceedings Volume 8947, 89471H (2014) https://doi.org/10.1117/12.2038098

KEYWORDS: Video microscopy, Video, Microscopy, Holography, Tissues, Microscopes, Biology, Image sensors, 3D modeling, Image segmentation

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Proceedings Article | 28 July 2010 Paper

Fractal iterative method for fast atmospheric tomography on extremely large telescopes

Michel Tallon, Isabelle Tallon-Bosc, Clémentine Béchet, Fabien Momey, Marie Fradin, Éric Thiébaut

Proceedings Volume 7736, 77360X (2010) https://doi.org/10.1117/12.858042

KEYWORDS: Tomography, Wavefronts, Adaptive optics, Wavefront sensors, Turbulence, Stars, Fractal analysis, Iterative methods, Error analysis, Large telescopes

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Showing 5 of 9 publications

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