Size Control of Sessile Microbubbles for Reproducibly Driven Acoustic Streaming

Volk, Andreas; Kähler, Christian J.

doi:10.1103/physrevapplied.9.054015

Cited by 16 publications

(18 citation statements)

References 20 publications

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“…The main advantage of GDPT is its simplicity and robustness that makes it suitable for a large variety of experimental setups and also for nonexpert users. This has already led to its use in different fields and by different research groups [3,15,19,25]. The same concept was developed independently by Taute et al [24] to track the 3D motion of bacteria using a standard phase-contrast microscope.…”

Section: Introductionmentioning

confidence: 99%

General defocusing particle tracking: fundamentals and uncertainty assessment

Barnkob

Rossi

2020

Exp Fluids

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General Defocusing Particle Tracking (GDPT) refers to a class of three-dimensional particle tracking methods that use a single-camera view and determine the particle depth positions from the defocusing patterns of the corresponding particle images. Its distinctive feature is to access particles' depth coordinates through a direct comparison of the particle images with a set of reference particle images at known depth positions. Many implementations of GDPT are possible, especially with respect to how to compare target and calibration images, how to deal with overlapping particle images, and how to optimize the computational time. The emergence of new and more sophisticated GDPT approaches requires the definition of the method fundamentals as well as a standardized framework for the objective assessment of the method performance and applicability. To meet this need, we identify and describe the fundamental concepts and parameters defining GDPT. We define guidelines for a standardized assessment of the efficiency and uncertainty of GDPT implementations. In particular, we show that a complete GDPT assessment must state the obtained particle detection rate, the depth coordinate uncertainty, and the measurement depth. In addition, we provide datasets for the evaluation of a GDPT

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Section: Introductionmentioning

confidence: 99%

General defocusing particle tracking: fundamentals and uncertainty assessment

Barnkob

Rossi

2020

Exp Fluids

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“…The system can be short-circuited to stop the flow by connecting the inlet to the outlet with a four-way valve (see Fig. 1) and the bubble size can be adjusted by controlling the static pressure of the liquid as described earlier [23,24]. The experiments in this work were performed with a bubble of width 110 μm protruding 50 μm into the main channel.…”

Section: Methodsmentioning

confidence: 99%

“…The bubble oscillations are driven by a piezoelectric transducer of 1-mm thickness and a diameter of 10 mm (Physik Instrumente, Germany), attached to the glass slide with epoxy two-component glue. The structure and magnitude of the streaming flow generated by the bubble surface oscillation depends on the driving frequency and amplitude and the bubble size [24,25]. For our investigation, we used an actuation frequency f = 21.8 kHz, a resonant frequency of bubble oscillation, with a peak to peak voltage U pp = 20 V. The streaming flow generated with these settings was used to investigate the behavior of particles of different sizes dispersed in the fluid.…”

Section: Methodsmentioning

confidence: 99%

Size-dependent particle migration and trapping in three-dimensional microbubble streaming flows

et al. 2020

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“…The system can be short-circuited to stop the flow by connecting the inlet to the outlet with a 4-way valve (see Fig. 1) and the bubble size can be adjusted by controlling the static pressure of the liquid as described earlier [24,25]. The experiments in this work were performed with a bubble of width 110 μm protruding 50 μm into the main channel.…”

Section: Methodsmentioning

confidence: 99%

Size-dependent particle migration and trapping in 3D microbubble streaming flows

Volk,

Rossi,

Rallabandi

et al. 2020

Preprint

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Acoustically actuated sessile bubbles can be used as a tool to manipulate microparticles, vesicles and cells. In this work, using acoustically actuated sessile semi-cylindrical microbubbles, we demonstrate experimentally that finite-sized microparticles undergo size-sensitive migration and trapping towards specific spatial positions in three dimensions with high reproducibility. The particle trajectories are successfully reproduced by passive advection of the particles in a steady three-dimensional streaming flow field augmented with volume exclusion from the confining boundaries. For different particle sizes, this volume exclusion mechanism leads to three regimes of qualitatively different migratory behavior, suggesting applications for separating, trapping, and sorting of particles in three dimensions.

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Size Control of Sessile Microbubbles for Reproducibly Driven Acoustic Streaming

Cited by 16 publications

References 20 publications

General defocusing particle tracking: fundamentals and uncertainty assessment

General defocusing particle tracking: fundamentals and uncertainty assessment

Size-dependent particle migration and trapping in three-dimensional microbubble streaming flows

Size-dependent particle migration and trapping in 3D microbubble streaming flows

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