Subpixel translation of MEMS measured by discrete fourier transform analysis of CCD images

Yamahata, Christophe; Sarajlic, Edin; Stranczl, M.; Krijnen, Gijs; Gijs, Martin A. M.

doi:10.1109/transducers.2011.5969574

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…With simple periodic patterns, it is possible to measure position accurately by feature-detection, as Clarck et al [5], or by Fourier-like processing, as Yamahata et al [6], but in these cases the absolute range is limited to one period. The most common solution to improve the range is to combine a large encoding to the periodicity.…”

Section: Introductionmentioning

confidence: 99%

2D visual micro-position measurement based on intertwined twin-scale patterns

Guelpa

Sandoz

Asmad

et al. 2016

Sensors and Actuators A: Physical

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Section: Introductionmentioning

confidence: 99%

2D visual micro-position measurement based on intertwined twin-scale patterns

Guelpa

Sandoz

Asmad

et al. 2016

Sensors and Actuators A: Physical

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Temporally Aliased Video Microscopy: An Undersampling Method for In-Plane Modal Analysis of Microelectromechanical Systems

Yamahata

Stranczl

Sarajlic³

et al. 2012

J. Microelectromech. Syst.

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Characterization of Mechanical Properties of Tissue Scaffolds by Phase Contrast Imaging and Finite Element Modeling

Bawolin

Dolovich

Chen

et al. 2015

Journal of Biomechanical Engineering

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In tissue engineering, the cell and scaffold approach has shown promise as a treatment to regenerate diseased and/or damaged tissue. In this treatment, an artificial construct (scaffold) is seeded with cells, which organize and proliferate into new tissue. The scaffold itself biodegrades with time, leaving behind only newly formed tissue. The degradation qualities of the scaffold are critical during the treatment period, since the change in the mechanical properties of the scaffold with time can influence cell behavior. To observe in time the scaffold's mechanical properties, a straightforward method is to deform the scaffold and then characterize scaffold deflection accordingly. However, experimentally observing the scaffold deflection is challenging. This paper presents a novel study on characterization of mechanical properties of scaffolds by phase contrast imaging and finite element modeling, which specifically includes scaffold fabrication, scaffold imaging, image analysis, and finite elements (FEs) modeling of the scaffold mechanical properties. The innovation of the work rests on the use of in-line phase contrast X-ray imaging at 20 KeV to characterize tissue scaffold deformation caused by ultrasound radiation forces and the use of the Fourier transform to identify movement. Once deformation has been determined experimentally, it is then compared with the predictions given by the forward solution of a finite element model. A consideration of the number of separate loading conditions necessary to uniquely identify the material properties of transversely isotropic and fully orthotropic scaffolds is also presented, along with the use of an FE as a form of regularization.

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Subpixel translation of MEMS measured by discrete fourier transform analysis of CCD images

Cited by 3 publications

References 9 publications

2D visual micro-position measurement based on intertwined twin-scale patterns

2D visual micro-position measurement based on intertwined twin-scale patterns

Temporally Aliased Video Microscopy: An Undersampling Method for In-Plane Modal Analysis of Microelectromechanical Systems

Characterization of Mechanical Properties of Tissue Scaffolds by Phase Contrast Imaging and Finite Element Modeling

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