Prof. Olivier Haeberlé Profile

Prof. Olivier Haeberlé

Professor at Univ de Haute-Alsace

SPIE Involvement:

Conference Program Committee | Author

Publications (33)

Proceedings Article | 8 March 2023 Presentation + Paper

Simulation of speckle in pixelated hologram image recovery: application for augmented-reality retinal projection device

Fabian Rainouard, Matthias Colard, Olivier Haeberle, Christophe Martinez

Proceedings Volume 12445, 124450B (2023) https://doi.org/10.1117/12.2649933

KEYWORDS: Speckle, Holograms, Optical simulations, Diffraction, Holography, Phase shifts, Image processing, Image restoration, Waveguides

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Proceedings Article | 27 May 2022 Presentation

Unsupervised regularized inverse method for 3D reconstruction in tomographic diffractive microscopy

Laurence Denneulin, Fabien Momey, Matthieu Debailleul, Asemare Taddese, Nicolas Verrier, Olivier Haeberle

Proceedings Volume PC12136, PC121360R (2022) https://doi.org/10.1117/12.2621259

KEYWORDS: Tomography, Microscopy, 3D modeling, Reconstruction algorithms, Holograms, Data modeling, Beam propagation method

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Proceedings Article | 20 May 2022 Paper

Experimental validation of dynamic activation of pixelated holograms for retinal projection display

Matthias Colard, Paul Legentil, Sylvia Meunier-Della-Gatta, Fabian Rainouard, Yann Lee, Olivier Haberle, Christophe Martinez

Proceedings Volume 12136, 1213613 (2022) https://doi.org/10.1117/12.2621486

KEYWORDS: Holograms, Spatial light modulators, Holography, Image processing, Imaging systems, Speckle, Wavefronts, Diffraction, Liquid crystal on silicon

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Proceedings Article | 17 May 2022 Presentation + Paper

Optimal dense and random addressing design of emissive points in a retinal projection device

Fabian Rainouard, Matthias Colard, Olivier Haeberlé, Edouard Oudet, Christophe Martinez

Proceedings Volume 12138, 121380R (2022) https://doi.org/10.1117/12.2620243

KEYWORDS: Waveguides, Point spread functions, Electrodes, Signal to noise ratio, Mathematical modeling, Retina, Eye, Switches, Laser sources, Image segmentation

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Proceedings Article | 4 March 2022 Presentation + Paper

Study of a liquid crystal impregnated diffraction grating for active waveguide addressing

Matthias Colard, Benoit Racine, Sylvia Meunier-Della-Gatta, David Grosso, Badre Kerzabi, Kyllian Millard, Yann Lee, Aurélien Shum, Olivier Haeberlé, Christophe Martinez

Proceedings Volume 12023, 1202302 (2022) https://doi.org/10.1117/12.2607475

KEYWORDS: Liquid crystals, Diffraction gratings, Polarization, Waveguides, Refractive index, Sol-gels, Finite-difference time-domain method

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Improved mathematical model for a dense network of waveguide and electrode design

Fabian Rainouard, Christophe Martinez, Basile Meynard, Olivier Haeberle, Edouard Oudet

Proceedings Volume 11689, 116891N (2021) https://doi.org/10.1117/12.2578309

KEYWORDS: Waveguides, Electrodes, Mathematical modeling, Signal to noise ratio, Integrated optics, Glasses, Eye, Waveguide modes, Retina, Projection systems

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Analysis of new optical addressing strategies for the optimization of retinal projection display

Matthias Colard, Christophe Martinez, Olivier Haeberlé

Proceedings Volume 11708, 117080V (2021) https://doi.org/10.1117/12.2578282

KEYWORDS: Holography, Augmented reality, Image quality, Waveguides, Wavefronts, Retina, Phase shifting, Optical components, Laser optics, Integrated photonics

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Proceedings Article | 30 March 2020 Presentation + Paper

Recent progress in tomographic diffractive microscopy

N. Verrier, M. Debailleul, O. Haeberlé

Proceedings Volume 11351, 1135104 (2020) https://doi.org/10.1117/12.2559216

KEYWORDS: Tomography, Microscopy, Holography, Image resolution, 3D image reconstruction, 3D acquisition, Optical transfer functions, Synthetic aperture microscopy

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Proceedings Article | 30 March 2020 Presentation + Paper

Curved microdisplay, from optical design to mechanical study: impact on form-factor and light efficiency in visual systems

S. Charrière, P. Joly, B. Simon, S. Nicolas, F. Zuber, D. Henry, O. Haeberle

Proceedings Volume 11350, 1135006 (2020) https://doi.org/10.1117/12.2552758

KEYWORDS: Optical design, Visual system, Organic light emitting diodes, Monochromatic aberrations, Gallium nitride, Visualization, Image quality, Sensors

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Proceedings Article | 30 March 2020 Presentation + Paper

Mirror-effect based tomographic diffraction microscopy

Nicolas Verrier, Ludovic Foucault, Matthieu Debailleul, Jean-Baptiste Courbot, Bruno Colicchio, Bertrand Simon, Laurent Vonna, Olivier Haeberlé

Proceedings Volume 11351, 1135106 (2020) https://doi.org/10.1117/12.2559200

KEYWORDS: Microscopy, Tomography, Diffraction

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Proceedings Article | 16 July 2019 Paper

A simplified approach for tomographic diffractive microscopy

L. Foucault, N. Verrier, M. Debailleul, B. Simon, O. Haeberlé

Proceedings Volume 11172, 111720F (2019) https://doi.org/10.1117/12.2521798

KEYWORDS: Digital holography, Diffraction, Time division multiplexing, Mirrors, Optical transfer functions, Tomography, Demodulation, Microscopy, Reflectivity, Refractive index

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Proceedings Article | 24 May 2018 Open Access

Tomographic diffractive microscopy: principles and applications

Olivier Haeberlé

Proceedings Volume 10677, 106770J (2018) https://doi.org/10.1117/12.2500236

KEYWORDS: Microscopy, Tomography, Digital holography, 3D image reconstruction, Holography, Diffraction, Interferometry, Image resolution

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Proceedings Article | 24 May 2018 Presentation + Paper

Simplified approach for tomographic diffractive microscopy of axisymmetric samples

L. Foucault, N. Verrier, M. Debailleul, B. Simon, O. Haeberlé

Proceedings Volume 10677, 106771F (2018) https://doi.org/10.1117/12.2305730

KEYWORDS: Tomography, Microscopy, Diffraction, 3D acquisition, Fourier transforms, 3D image processing

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Proceedings Article | 21 May 2018 Paper

Experimental evaluation of self-focusing image formation in unconventional near-eye display

Christophe Martinez, Vladimir Krotov, Olivier Haeberlé

Proceedings Volume 10676, 106760N (2018) https://doi.org/10.1117/12.2305930

KEYWORDS: Diffractive optical elements, Temporal coherence, Wavefronts, Optical simulations, Speckle

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Proceedings Article | 13 May 2016 Paper

Low temperature photoluminescence of a nanostructured silicon-based semiconductor for potential applications

A. Raddenzati, M. Hosatte, M. Basta, Z. Kuznicki, M. Remouche, P. Meyrueis, O. Haeberlé

Proceedings Volume 9891, 989123 (2016) https://doi.org/10.1117/12.2227525

KEYWORDS: Silicon, Luminescence, Nanostructuring, Semiconductors, Interfaces, Amorphous silicon, Infrared radiation, Silicon, Semiconducting wafers, Ions, Transmission electron microscopy

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Proceedings Article | 29 April 2016 Paper

3D high- and isotropic resolution in tomographic diffractive microscopy by illumination angular scanning, specimen rotation and improved data recombination

Jonathan Bailleul, Bertrand Simon, Bruno Colicchio, Matthieu Debailleul, Olivier Haeberlé

Proceedings Volume 9896, 98960M (2016) https://doi.org/10.1117/12.2227058

KEYWORDS: Image resolution, Time division multiplexing, Spatial resolution, 3D image processing, Image resolution, 3D acquisition, Digital holography, Microscopes, 3D displays

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Proceedings Article | 26 April 2016 Paper

Overview of label-free far field optical nanoscopy techniques for nanometrology

Paul Montgomery, Audrey Leong-Hoï, Freddy Anstotz, Hui Liu, Bertrand Simon, Matthieu Debailleul, Olivier Haeberlé

Proceedings Volume 9890, 98900G (2016) https://doi.org/10.1117/12.2227582

KEYWORDS: Super resolution microscopy, Microscopy, Super resolution, Nanostructures, Optical imaging, Image resolution, Molecules, Digital holography, Nanoparticles, Confocal microscopy, Time division multiplexing, Tomography, Deconvolution, Optical microscopy

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SPIE Journal Paper | 22 December 2015

Calibration and disparity maps for a depth camera based on a four-lens device

Cécile Riou, Bruno Colicchio, Jean-Philippe Lauffenburger, Olivier Haeberlé, Christophe Cudel

JEI, Vol. 24, Issue 06, 061108, (December 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.6.061108

KEYWORDS: Calibration, Cameras, Image fusion, 3D metrology, Lawrencium, Lenses, Distortion, Image processing, Instrument modeling, Detection and tracking algorithms

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Proceedings Article | 30 April 2015 Paper

A four-lens based plenoptic camera for depth measurements

Cécile Riou, Zhiyuan Deng, Bruno Colicchio, Jean-Philippe Lauffenburger, Sophie Kohler, Olivier Haeberlé, Christophe Cudel

Proceedings Volume 9534, 95340V (2015) https://doi.org/10.1117/12.2182815

KEYWORDS: Cameras, Calibration, Lenses, Distortion, Image sensors, 3D metrology, Copper, Prototyping, Stereoscopic cameras, Corner detection

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SPIE Journal Paper | 7 May 2012

Original method to compute epipoles using variable homography: application to measure emergent fibers on textile fabrics

Jun Xu, Christophe Cudel, Sophie Kohler, Olivier Haeberlé, Stephane Fontaine, Marie-Louise Klotz

JEI, Vol. 21, Issue 2, 021103, (May 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.2.021103

KEYWORDS: Cameras, Optical fibers, 3D metrology, Calibration, Device simulation, Glasses, Computer simulations, Defect detection, Microscopes, Imaging systems

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Proceedings Article | 2 May 2012 Paper

GPU acceleration towards real-time image reconstruction in 3D tomographic diffractive microscopy

J. Bailleul, B. Simon, M. Debailleul, H. Liu, O. Haeberlé

Proceedings Volume 8437, 843707 (2012) https://doi.org/10.1117/12.922147

KEYWORDS: Visualization, Holograms, 3D image processing, 3D image reconstruction, Microscopy, 3D acquisition, Tomography, Time division multiplexing, Computer architecture, Image restoration

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Proceedings Article | 12 July 2011 Paper

Using variable homography to measure emergent fibers on textile fabrics

Jun Xu, Christophe Cudel, Sophie Kohler, Stéphane Fontaine, Olivier Haeberlé, Marie-Louise Klotz

Proceedings Volume 8000, 800003 (2011) https://doi.org/10.1117/12.890897

KEYWORDS: Cameras, Optical fibers, Calibration, Prototyping, Glasses, Defect detection, 3D metrology, Applied sciences, Microscopes, Computer simulations

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Proceedings Article | 23 February 2011 Paper

Comparison of resolution in tomographic diffractive microscopy using combinations of sample rotation and illumination rotation

Stanislas Vertu, Etsuo Maeda, Jens Flügge, Jean-Jacques Delaunay, Olivier Haeberlé

Proceedings Volume 7904, 79041O (2011) https://doi.org/10.1117/12.874446

KEYWORDS: Tomography, Microscopy, Optical transfer functions, Time division multiplexing, Holography, Image resolution, Optical spheres, Microscopes, Diffraction, Confocal microscopy

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Proceedings Article | 17 June 2009 Paper

Diffraction microtomography with sample rotation: primary result on the influence of a missing apple core in the recorded frequency space

Stanislas Vertu, Ichiro Yamada, Jean-Jacques Delaunay, Olivier Haeberlé, Jens Flügge

Proceedings Volume 7390, 73901D (2009) https://doi.org/10.1117/12.827578

KEYWORDS: Diffraction, Tomography, Optical spheres, Microscopes, Refractive index, Holograms, Microscopy, Scattering, Objectives, Spatial resolution

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Proceedings Article | 2 May 2008 Paper

Biological samples observed with diffractive tomographic microscopy

B. Simon, M. Debailleul, V. Georges, O. Haeberlé, V. Lauer

Proceedings Volume 6991, 699112 (2008) https://doi.org/10.1117/12.781154

KEYWORDS: Tomography, Microscopes, Microscopy, Refraction, Luminescence, Diffraction, Holography, 3D acquisition, Objectives, Confocal microscopy

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Proceedings Article | 22 April 2008 Paper

Recent advances in 3-D fluorescence microscopy: tomography as a source of information

A. Dieterlen, M. Debailleul, A. De Meyer, B. Simon, V. Georges, B. Colicchio, O. Haeberlé, V. Lauer

Proceedings Volume 7008, 70080S (2008) https://doi.org/10.1117/12.796995

KEYWORDS: Point spread functions, Luminescence, Microscopes, Microscopy, Deconvolution, Tomography, 3D image processing, Image processing, 3D acquisition, Optical microscopy

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3-D optical fluorescent microscopy becomes now an efficient tool for volume investigation of living biological samples. Developments in instrumentation have permit to beat off the conventional Abbe limit, in any case the recorded image can be described by the convolution equation between the original object and the Point Spread Function (PSF) of the acquisition system. If the goal is 3-D quantitative analysis, whether you improve the instrument capabilities, or (and) you restore the data. These last is until now the main task in our laboratory. Based on the knowledge of the optical Transfer Function of the microscope, deconvolution algorithms were adapted to automatic determine the regularisation threshold in order to give less subjective and more reproducible results. The PSF represents the properties of the image acquisition system; we have proposed the use of statistical tools and Zernike moments to describe a 3-D system PSF and to quantify the variation of the PSF. This first step toward standardization is helpful to define an acquisition protocol optimizing exploitation of the microscope depending on the studied biological sample. We have pointed out that automating the choice of the regularization level; if it facilitates the use, it also greatly improves the reliability of the measurements. Furthermore, to increase the quality and the repeatability of quantitative measurements a pre-filtering of images improves the stability of deconvolution process. In the same way, the PSF pre-filtering stabilizes the deconvolution process. We have shown that Zernike polynomials can be used to reconstruct experimental PSF, preserving system characteristics and removing the noise contained in the PSF. Fluorescent microscopes suffer from limitations; photobleaching and phototoxicity effects, or influence of the sample optical properties to 3-D observation. Amplitude and phase of the object can be reached with optical tomography based on a combination of microholography with a tomographic illumination. So indices cartography of the specimen can be obtained, and combined with fluorescence information it will open new possibilities in 3-D optical microscopy.

Proceedings Article | 12 February 2008 Paper

Tomographic observation of transparent objects under coherent illumination and reconstruction by filtered backprojection and Fourier diffraction theorem

Stanislas Vertu, Ichiro Yamada, Jean-Jacques Delaunay, Olivier Haeberlé

Proceedings Volume 6861, 686103 (2008) https://doi.org/10.1117/12.760902

KEYWORDS: Diffraction, Refractive index, Holograms, Scattering, Tomography, Microscopes, Fourier transforms, Spherical lenses, Polymers, Optical spheres

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Proceedings Article | 11 July 2007 Paper

Optical projection microtomography of transparent objects

Stanislas Vertu, Masato Ochiai, Masaki Shuzo, Ichiro Yamada, Jean-Jacques Delaunay, Olivier Haeberlé, Yoshitaka Okamoto

Proceedings Volume 6627, 66271A (2007) https://doi.org/10.1117/12.728168

KEYWORDS: Refractive index, Holograms, Tomography, Microscopes, Glasses, Phase measurement, Objectives, Biomedical optics, Scatter measurement, CCD image sensors

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Proceedings Article | 14 June 2006 Paper

Image processing tools dedicated to quantification in 3D fluorescence microscopy

A. Dieterlen, A. De Meyer, B. Colicchio, S. Le Calvez, O. Haeberlé, S. Jacquey

Proceedings Volume 6254, 62540O (2006) https://doi.org/10.1117/12.679922

KEYWORDS: Point spread functions, Deconvolution, Luminescence, Microscopes, Image processing, 3D acquisition, 3D image processing, Microscopy, Image acquisition, Algorithm development

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3-D optical fluorescent microscopy now becomes an efficient tool for the volume investigation of living biological samples. Developments in instrumentation have permitted to beat off the conventional Abbe limit. In any case the recorded image can be described by the convolution equation between the original object and the Point Spread Function (PSF) of the acquisition system. Due to the finite resolution of the instrument, the original object is recorded with distortions and blurring, and contaminated by noise. This induces that relevant biological information cannot be extracted directly from raw data stacks. If the goal is 3-D quantitative analysis, then to assess optimal performance of the instrument and to ensure the data acquisition reproducibility, the system characterization is mandatory. The PSF represents the properties of the image acquisition system; we have proposed the use of statistical tools and Zernike moments to describe a 3-D PSF system and to quantify the variation of the PSF. This first step toward standardization is helpful to define an acquisition protocol optimizing exploitation of the microscope depending on the studied biological sample. Before the extraction of geometrical information and/or intensities quantification, the data restoration is mandatory. Reduction of out-of-focus light is carried out computationally by deconvolution process. But other phenomena occur during acquisition, like fluorescence photo degradation named "bleaching", inducing an alteration of information needed for restoration. Therefore, we have developed a protocol to pre-process data before the application of deconvolution algorithms. A large number of deconvolution methods have been described and are now available in commercial package. One major difficulty to use this software is the introduction by the user of the "best" regularization parameters. We have pointed out that automating the choice of the regularization level; also greatly improves the reliability of the measurements although it facilitates the use. Furthermore, to increase the quality and the repeatability of quantitative measurements a pre-filtering of images improves the stability of deconvolution process. In the same way, the PSF prefiltering stabilizes the deconvolution process. We have shown that Zemike polynomials can be used to reconstruct experimental PSF, preserving system characteristics and removing the noise contained in the PSF.

Proceedings Article | 14 April 2006 Paper

Contribution of data pre-processing to deconvolution of 3-D fluorescence microscopy images

Arnaud De Meyer, Bruno Colicchio, Jan De Mey, Georges Jung, Alain Dieterlen, Olivier Haeberlé, Serge Jacquey

Proceedings Volume 6191, 61910G (2006) https://doi.org/10.1117/12.662953

KEYWORDS: Point spread functions, Deconvolution, Luminescence, Microscopy, 3D image processing, Data acquisition, 3D acquisition, Signal to noise ratio, Optical microscopy, Spindles

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Proceedings Article | 10 September 2004 Paper

The point-spread function of fluorescence microscope imaging through an inhomogeneous medium

Olivier Haeberle, Bertrand Simon

Proceedings Volume 5462, (2004) https://doi.org/10.1117/12.545792

KEYWORDS: Point spread functions, Microscopes, Glasses, Refraction, Interfaces, Confocal microscopy, Luminescence, Microscopy, Diffraction, Water

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Proceedings Article | 4 June 2004 Paper

Identification and restoration in 3D fluorescence microscopy

Alain Dieterlen, Chengqi Xu, Olivier Haeberle, Nicolas Hueber, R. Malfara, B. Colicchio, Serge Jacquey

Proceedings Volume 5477, (2004) https://doi.org/10.1117/12.559754

KEYWORDS: Point spread functions, Deconvolution, Microscopy, Luminescence, 3D acquisition, Image processing, 3D image processing, Microscopes, Optical microscopy, Image acquisition

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Proceedings Article | 29 December 1997 Paper

Fluorescence microscopy image deconvolution: application to anthracycline distribution in breast cancer cells

Marie-Pierre Gramain, Corinne Bour, Alain Chomik, Alain Dieterlen, Olivier Haeberle, Jean Jacques Meyer, Sophie Marchal, Jean-Louis Merlin, Francois Guillemin

Proceedings Volume 3197, (1997) https://doi.org/10.1117/12.297960

KEYWORDS: Deconvolution, Luminescence, Microscopy, Point spread functions, Image segmentation, Cameras, Image processing algorithms and systems, Breast cancer, Image analysis, Lawrencium

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