An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion

Garbe, Christoph S.; Roetmann, Karsten; Beushausen, Volker; Jähne, Bernd

doi:10.1007/s00348-007-0435-7

Cited by 29 publications

(24 citation statements)

References 48 publications

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“…Similarly to our contribution, the authors of [4] propose a variant of classical optical flow estimation from images that incorporates a volumetric model of a gas in a microchannel. However, in [4], the LPF model is used as a strong prior.…”

Section: Introductionmentioning

confidence: 97%

Simultaneous Image Registration and Monocular Volumetric Reconstruction of a Fluid Flow

Brunet

Cid²,

Bartoli

2011

Procedings of the British Machine Vision Conference 2011

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We propose to combine image registration and volumetric reconstruction from a monocular video of a draining off Hele-Shaw cell filled with water. A Hele-Shaw cell is a tank whose depth is small (e.g. 1 mm) compared to the other dimensions (e.g. 400 × 800 mm 2 ). We use a technique known as molecular tagging which consists in marking by photobleaching a pattern in the fluid and then tracking its deformations. The evolution of the pattern is filmed with a camera whose principal axis coincides with the depth of the cell. The velocity of the fluid along this direction is not constant. Consequently, tracking the pattern cannot be achieved with classical methods because what is observed is the integration of the marked molecules over the entire depth of the cell. The proposed approach is built on top of classical direct image registration in which we incorporate a volumetric image formation model. It allows us to accurately measure the motion and the velocity profiles for the entire volume (including the depth of the cell) which is something usually hard to achieve. The results we obtain are consistent with the theoretical hydrodynamic behaviour for this flow which is known as the laminar Poiseuille flow.

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Section: Introductionmentioning

confidence: 97%

Simultaneous Image Registration and Monocular Volumetric Reconstruction of a Fluid Flow

Brunet

Cid²,

Bartoli

2011

Procedings of the British Machine Vision Conference 2011

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“…Ground truth was derived from accurate measurements of the water flow through the chamber. Results are presented in [7] and recapitulated in Figure 6b. The slight bias in some measurements can be attributed to calibration errors of the flow meter [7].…”

Section: Applicationsmentioning

confidence: 97%

“…Results are presented in [7] and recapitulated in Figure 6b. The slight bias in some measurements can be attributed to calibration errors of the flow meter [7]. The data points were measured by integrating over the center part of three frames.…”

Section: Applicationsmentioning

confidence: 97%

Fluid Flow Estimation Through Integration of Physical Flow Configurations

Garbe

Lecture Notes in Computer Science

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Abstract. The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Due to the projective nature of the imaging process, the tracer is integrated across a velocity profile. In this contribution, a novel technique is presented that explicitly models brightness changes due to this integration. Only through this modeling is an accurate estimation of the flow velocities feasible. Apart from an accurate measurement of the fluid flow, also the underlying velocity profile can be reconstructed. Applications from shear flow, microfluidics and a biological applications are presented.

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“…These brightness change models take into account effects such as Taylor dispersion and have been applied successfully to microfluidics [34] or in shear driven flows at the air-water interface [32].…”

Section: Brightness Changes For Fluid Flowsmentioning

confidence: 99%

“…Motion models such as those described in Sect. 7.2.4 were used to make feasible a highly accurate technique for measuring microfluidic flows based on MTV [31,34,94]. A comparison of MTV, μPIV and ground truth can be seen in Fig.…”

Section: Transport Processesmentioning

confidence: 99%

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

Garbe

Krajsek

Pavlov

et al.

Understanding Complex Systems

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An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion

Cited by 29 publications

References 48 publications

Simultaneous Image Registration and Monocular Volumetric Reconstruction of a Fluid Flow

Simultaneous Image Registration and Monocular Volumetric Reconstruction of a Fluid Flow

Fluid Flow Estimation Through Integration of Physical Flow Configurations

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

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