A comparative analysis of the uncertainty of astigmatism-μPTV, stereo-μPIV, and μPIV

Cierpka, Christian; Rossi, Massimiliano; Segura, Rodrigo; Mastrangelo, F; Kähler, Christian J.

doi:10.1007/s00348-011-1075-5

Cited by 33 publications

(19 citation statements)

References 23 publications

(29 reference statements)

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“…(19) was presented there with a minus before the expression for (a result of a sign error in Eqn. (21) of that paper).…”

Section: Discussionmentioning

confidence: 99%

“…Experimental investigations have shown that μPIV [11][12][13] and PTV 14,15 are powerful tools for analysing 2D microchannel acoustophoresis. Fully 3D particle tracking has been demonstrated using μPIV with depth of correlations 16 and astigmatism particle tracking velocimetry [17][18][19] . On the other hand, numerical simulations of acoustophoretic motion of microparticles can provide efficient prediction of experiments and provide effective guidance and optimization on the design of acoustofluidic devices to enhance or improve experiments.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of 3D boundary-driven acoustic streaming in microfluidic devices

2014

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This article discusses three-dimensional (3D) boundary-driven streaming in acoustofluidic devices. Firstly, the 3D Rayleigh streaming pattern in a microchannel is simulated and its effect on the movement of microparticles of various sizes is demonstrated. The results obtained from this model show good comparisons with 3D experimental visualisations and demonstrate the fully 3D nature of the acoustic streaming field and the associated acoustophoretic motion of microparticles in acoustofluidic devices. This method is then applied to another acoustofluidic device in order to gain insights into an unusual in-plane streaming pattern. The origin of this streaming has not been fully described and its characteristics cannot be explained from the classical theory of Rayleigh streaming. The simulated in-plane streaming pattern was in good agreement with the experimental visualisation. The mechanism behind it is shown to be related to the active sound intensity field, which supports our previous findings on the mechanism of the in-plane acoustic streaming pattern visualised and modelled in a thin-layered capillary device.

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“…(19) was presented there with a minus before the expression for (a result of a sign error in Eqn. (21) of that paper).…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical simulation of 3D boundary-driven acoustic streaming in microfluidic devices

2014

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“…More details about calibration and uncertainty of this technique, as well as comparison with other whole-field velocimetry methods for microflows, can be found in Refs. [34,35].…”

Section: Methodsmentioning

confidence: 99%

Ultrasound-induced acoustophoretic motion of microparticles in three dimensions

et al. 2013

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We derive analytical expressions for the three-dimensional (3D) acoustophoretic motion of spherical microparticles in rectangular microchannels. The motion is generated by the acoustic radiation force and the acoustic streaming-induced drag force. In contrast to the classical theory of Rayleigh streaming in shallow, infinite, parallel-plate channels, our theory does include the effect of the microchannel side walls. The resulting predictions agree well with numerics and experimental measurements of the acoustophoretic motion of polystyrene spheres with nominal diameters of 0.537 µm and 5.33 µm. The 3D particle motion was recorded using astigmatism particle tracking velocimetry under controlled thermal and acoustic conditions in a long, straight, rectangular microchannel actuated in one of its transverse standing ultrasound-wave resonance modes with one or two half-wavelengths. The acoustic energy density is calibrated in situ based on measurements of the radiation dominated motion of large 5-µm-diam particles, allowing for quantitative comparison between theoretical predictions and measurements of the streaming induced motion of small 0.5-µm-diam particles.

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“…In the middle, stereoscopic measurements are presented and the region of the downward flow was well captured. Although great care was taken to align the system, the focal planes of both cameras differ by several micrometers as outlined in Cierpka et al (2011b). Thus the in-plane velocity corresponds to different regions in the volume.…”

Section: Imaging Based On Aberrations (Astigmatism)mentioning

confidence: 99%

“…Nevertheless, it has to be stated that the uncertainty of a single PTV measurement is higher than for the correlation-based methods, where six to ten particle images contribute to one vector estimation. If six to ten PTV data points are averaged, the uncertainty usually decreases below the value for correlation-based methods (Sato et al 2003;Cierpka et al 2011b). Another advantage of particle tracking methods over correlation-based methods arises regarding instationary or pulsatile flows.…”

Section: Tracking or Correlationmentioning

confidence: 99%

Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics

Cierpka

Kähler

2011

J Vis

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128

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The reliable measurement of the 3D3C velocity field in microfluidic devices becomes more and more important for future optimization and developments for lab-on-a-chip applications or point-of-care medical diagnosis systems. In the past years, different particle-based imaging methods, such as confocal scanning microscopy, holography, stereoscopic and tomographic imaging or approaches based on defocused particle images or optical aberrations have been developed and applied successfully to measure velocity fields in microfluidic systems. The benefits and drawbacks of these methods will be discussed in detail as the proper understanding of the measurement principle is essential to select the most appropriate technique for a desired measurement application. Once an imaging method is chosen, the velocity can be estimated by correlation-based methods or tracking approaches. The advantages and disadvantages of both methods and the importance of image preprocessing will also be discussed in detail.

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A comparative analysis of the uncertainty of astigmatism-μPTV, stereo-μPIV, and μPIV

Cited by 33 publications

References 23 publications

Numerical simulation of 3D boundary-driven acoustic streaming in microfluidic devices

Numerical simulation of 3D boundary-driven acoustic streaming in microfluidic devices

Ultrasound-induced acoustophoretic motion of microparticles in three dimensions

Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics

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