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PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB

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TLDR
The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
Abstract
Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.

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Theory of cross-correlation analysis of PIV images : Image analysis as measuring technique in flows

R. D. Keane, +1 more
TL;DR: In this article, cross-correlation methods of interrogation of successive single-exposure frames can be used to measure the separation of pairs of particle images between successive frames, which can be optimized in terms of spatial resolution, detection rate, accuracy and reliability.
Journal ArticleDOI

A four-organ-chip for interconnected long-term co-culture of human intestine, liver, skin and kidney equivalents

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Topological defects in epithelia govern cell death and extrusion.

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Phototactic guidance of a tissue-engineered soft-robotic ray.

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References
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Journal ArticleDOI

On the accuracy of velocity and vorticity measurements with PIV

TL;DR: In this paper, a number of numerical techniques aimed at improving the accuracy of measurements using the correlation approach in Particle Image Velocimetry, PIV, are proposed and investigated.
Journal ArticleDOI

Spatial fluctuations of fluid velocities in flow through a three-dimensional porous medium.

TL;DR: It is found that the velocity magnitudes and the velocity components both along and transverse to the imposed flow direction are exponentially distributed, even with residual trapping of a second immiscible fluid.
Journal ArticleDOI

Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry

TL;DR: An explicit solution of two-dimensional Gaussian regression for the estimation of particle displacement from the correlation function in particle image velocimetry (PIV) or particle position from the images in PTV with sub-pixel accuracy is introduced in this paper.
Journal ArticleDOI

Rapid disorganization of mechanically interacting systems of mammary acini

TL;DR: Pairs or groups of mammary acini can interact mechanically over long distances through the collagen matrix, and these directed mechanical interactions facilitate transition to an invasive phenotype.
Journal ArticleDOI

Evolution of the turbulent/non-turbulent interface of an axisymmetric turbulent jet

TL;DR: Westerweel et al. as mentioned in this paper measured a turbulent round air jet, using particle image velocimetry, to investigate the dynamics and transport processes at the continuous bounding interface between the turbulent and non-turbulent regions (T/NT) of the jet flow.
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