Out-of-focus effects on particle image visibility and correlation in microscopic particle image velocimetry

By M. Olsen, Ronald J. Adrian. 2000

496 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/eeb4b21c47a1dbf9bbd283e0afe1f1a72cab823e

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In Computational Mechanics

In Computer Vision and Pattern Recognition

In Ocean Engineering

Citations in the corpus

On the uncertainty of digital PIV and PTV near walls (2012, background): “Since the whole channel is illuminated in micro fluidics, out-of-focus particles also contribute to the correlation and bias the velocity estimate (Olsen and Adrian 2000; Rossi et al. 2011).”
On the resolution limit of digital particle image velocimetry (2012, background): “…image due to diffraction and defocussing can be described by the second and third term under the square root of the following equation determined by Olsen and Adrian (2000): ds ¼…”
Digital particle image velocimetry (DPIV) robust phase correlation (2009, methodology): “This approximation is taken from the theory described by Olsen [28], where the numerical aperture, NA, is approximated by twice the ratio of the object distance to the aperture diameter and the object distance is assumed to be much greater than the particle distance from the focal plane.”
3D particle position and 3D velocity field measurement in a microvolume via the defocusing concept (2006, methodology): “The micro-PIV (particle image velocimetry) method has been improved through a number of studies (Meinhart et al 1999, Olsen and Adrian 2000, Wereley et al 2002).”
Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics (2011, methodology): “A model to describe the defocused imaging of particles in microscopes was developed by Olsen and Adrian (2000).”
Viscous flow through microfabricated hyperbolic contractions (2007, background): “14 of Olsen and Adrian (2000).”
Particle imaging techniques for microfabricated fluidic systems (2003, background): “Meinhart et al. (2000b) and Olsen and Adrian (2000b) present estimations of the effective measurement volume depth dzm applicable to micro-PIV.”
On velocity gradients in PIV interrogation (2008, methodology): “For micro-PIV the depth-of-correlation ( Olsen and Adrian 2000b ) can be of the order of the flow domain (i.e., channel depth), which means that a large range of displacements can occur in a single interrogation domain.”
On the calibration of astigmatism particle tracking velocimetry for microflows (2010, methodology): “thickness of the measurement plane (depth of correlation [14]),”
Optically sliced micro-PIV using confocal laser scanning microscopy (CLSM) (2004, background): “The effective depth, so-called the depth-of-correlation, over which particles contribute to the measured velocity has been well documented elsewhere in the case of conventional micro-PIV measurements (Thiery et al. 1996; Prenel and Bailly 1998; Olsen and Adrian 2000).”