Mr. Jerôme Ballesta Profile

Jerôme Ballesta

US Sales Manager at Imagine Optic Inc

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Publications (6)

Proceedings Article | 29 August 2022 Presentation

A new generation of SHWFS with dramatically improved spatial resolution dedicated to high performance optical metrology

Jerôme Ballesta, Xavier Levecq, Samuel Bucourt

Proceedings Volume 12188, 121881G (2022) https://doi.org/10.1117/12.2630579

KEYWORDS: Spatial resolution, Optical metrology, Wavefront sensors, Wavefronts, Short wave infrared radiation, Shape analysis, Optical alignment, Metrology, Laser optics, Laser metrology

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Proceedings Article | 13 December 2020 Poster + Paper

The Shack-Hartmann wavefront sensor for the Rubin Observatory

Jerome Ballesta, Guillaume Tison, Rafael Meyer, Jacques Sebag, Sandrine Thomas

Proceedings Volume 11451, 114513F (2020) https://doi.org/10.1117/12.2563380

KEYWORDS: Wavefront sensors, Large Synoptic Survey Telescope, Telescopes, Optical testing, Imaging systems, Astronomy, Optical instrument design, Integrated optics, Optical alignment, Stars

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Proceedings Article | 30 May 2013 Paper

Large-aperture active optical carbon fiber reinforced polymer mirror

Matthew E. Jungwirth, Christopher Wilcox, David Wick, Michael Baker, Clinton Hobart, Jared Milinazzo, Joseph Robichaud, Robert Romeo, Robert Martin, Jerome Ballesta, Emeric Lavergne, Eustace Dereniak

Proceedings Volume 8725, 87250W (2013) https://doi.org/10.1117/12.2020722

KEYWORDS: Mirrors, Monochromatic aberrations, Photovoltaics, Actuators, Active optics, Carbon, Disk lasers, Finite element methods, Fiber reinforced polymers, Wavefronts

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Proceedings Article | 23 February 2011 Paper

Adaptive optics in sectioning microscopes: the practical implementation

Jordi Andilla, Jerôme Ballesta, Rodrigo Aviles-Espinosa, Xavier Levecq

Proceedings Volume 7902, 79021A (2011) https://doi.org/10.1117/12.873526

KEYWORDS: Adaptive optics, Microscopy, Microscopes, Monochromatic aberrations, Optical aberrations, Image quality, Wavefronts, Mirrors, Genetic algorithms, Mathematical modeling

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SPIE Journal Paper | 1 July 2010 Open Access

Shack-Hartmann wavefront-sensor-based adaptive optics system for multiphoton microscopy

Jae-Won Cha, Jérôme Ballesta, Peter T. So

JBO, Vol. 15, Issue 04, 046022, (July 2010) https://doi.org/10.1117/12.10.1117/1.3475954

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Proceedings Article | 4 March 2009 Paper

Comparison of optical quadrature microscopy and Shack-Hartmann wavefront sensor

Yogesh Patel, William Warger, Jerome Ballesta, Charles DiMarzio

Proceedings Volume 7184, 71840F (2009) https://doi.org/10.1117/12.810105

KEYWORDS: Wavefront sensors, Polymethylmethacrylate, Microscopy, Beam splitters, Wavefronts, Biomedical optics, Image processing, Optical microscopy, Sensors, Cameras

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Several quantitative phase imaging techniques, such as digital holography, Hilbert-phase microscopy, and phase-shifting interferometry have applications in biological and medical imaging. Quantitative phase imaging measures the changes in the wavefront of the incident light due to refractive index variations throughout a 3-D specimen. We have developed a multimodal microscope which combines optical quadrature microscopy (OQM) and a Shack- Hartmann wavefront sensor for applications in biological imaging. OQM is an interferometric imaging modality that noninvasively measures the amplitude and phase of a signal beam that travels through a transparent specimen. The phase is obtained from interferograms with four different delayed reference wavefronts. The phase is then transformed into a quantitative image of optical path length difference. The Shack-Hartmann wavefront sensor measures the gradient of the wavefront at various points across a beam. A microlens array focuses the local wavefront onto a specific region of the CCD camera. The intensity is given by the maximum amplitude in the region and the phase is determined based on the exact pixel position within the region. We compare the amplitude and quantitative phase information of poly-methyl-meth-acrylate (PMMA) beads in oil and one-cell and two-cell mouse embryos with micrometer resolution using OQM and the Shack-Hartmann. Each pixel in OQM provides a phase measurement, whereas multiple pixels are used in Shack-Hartmann to determine the tilt. Therefore, the simple Shack-Hartmann system is limited by its resolution and field-of-view. Real-time imaging in Shack-Hartmann requires spatial averaging which smoothes the edges of the PMMA beads. The OQM has a greater field-of-view with good resolution; however, it is a complex system requiring multiple optical components and four cameras which may introduce additional artifacts in processing quantitative images. The OQM and Shack- Hartmann has certain advantages depending on the application. A combination of these two systems may provide improved quantitative phase information than either one alone.cHJl

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