scholarly journals Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

10.3791/50314 ◽  
2013 ◽  
Author(s):  
Katie L. Pitts ◽  
Marianne Fenech
Keyword(s):  
Particle Image Velocimetry ◽  
Velocity Profile ◽  
Particle Image ◽  
Blood Flows ◽  
Micro Particle Image Velocimetry ◽  
Image Velocimetry

Micro particle-image velocimetry of bead suspensions and blood flows

2005 ◽  
Vol 39 (3) ◽  
pp. 507-513 ◽  
Author(s):  
L. Bitsch ◽  
L. H. Olesen ◽  
C. H. Westergaard ◽  
H. Bruus ◽  
H. Klank ◽  
...  
Keyword(s):  
Particle Image Velocimetry ◽  
Particle Image ◽  
Blood Flows ◽  
Micro Particle Image Velocimetry ◽  
Image Velocimetry

Blood Velocity Profile Measurements in Microchannels Using Micro-Particle Image Velocimetry

2012 ◽  
Author(s):  
Katie L. Pitts ◽  
Marianne Fenech
Keyword(s):  
Particle Image Velocimetry ◽  
Velocity Profile ◽  
Red Blood Cells ◽  
Blood Cells ◽  
Particle Image ◽  
Experimental Studies ◽  
Biocompatible Polymer ◽  
Micro Particle Image Velocimetry ◽  
Tracer Particles ◽  
Image Velocimetry

Experimental studies of blood microflows in rectangular biocompatible polymer microchannels measured using micro-particle image velocimetry are reported. The data processing methods, data collection methods, and choice of channel material are demonstrated to impact the velocity profile measurements obtained. Results show that the use of red blood cells as tracer particles creates a large depth of correlation which can approach the size of the vessel itself and decrease the accuracy of the method. It is shown that changing the amount of overlap in the post-processing parameters affects the results by nearly 10%. The velocity profile is studied as a function of the flow rate of the blood, the hematocrit, or percentage of red blood cells, the shape of the channel, and the channel material. The results highlighted here show that the best processing options include pre-processing, the use of fluorescent tracer particles instead of the red blood cells themselves as tracers give a more accurate prediction of the profile, and the use of silicone as the channel material more closely mimics the behavior of physiology. Acrylic biocompatible polymer channels are shown to give a more parabolic profile at lower levels of hematocrit, while silicone biocompatible polymer channels give a velocity profile that looks more like in vivo flow studies.

Microchannel Flow Measurement Using Micro Particle Image Velocimetry

2002 ◽  
Author(s):  
Sang-Youp Lee ◽  
Steven T. Wereley ◽  
Lichuan Gui ◽  
Weilin Qu ◽  
Issam Mudawar
Keyword(s):  
Particle Image Velocimetry ◽  
Laminar Flow ◽  
Velocity Profile ◽  
Particle Image ◽  
Velocity Profiles ◽  
Entrance Length ◽  
Number Range ◽  
Micro Particle Image Velocimetry ◽  
Peak Broadening ◽  
Image Velocimetry

Since microfabrication techniques are typically planar processes, microchannel flows typically have significant predevelopment due to the upstream reservoir having the same height as the microchannel. The main concerns of the current study are categorized into finding the effects of typical microchannel geometry on the velocity entrance length in the laminar flow regime and providing the turbulence transitional Reynolds number range using the details of the velocity profile rather than global measurements of pressure drop. A rectangular micro-channel of aspect ratio ∼2.65 and the hydraulic diameter 380μm was used in this study. Micro particle image velocimetry measurement was performed to measure the velocity profiles. The entrance length is reduced about 45% and the transitional velocity profile is measured at Re=2900. The velocity profiles do not show deviation from the fully developed laminar flow profiles up to Re=2100. Related to the flow transition, the close resemblance between the correlation function peak broadening and the turbulence intensity is observed.

Flow Characteristics of Pressure-Driven Water in Serpentine Micro-Channels

2006 ◽  
Author(s):  
Renqiang Xiong ◽  
J. N. Chung
Keyword(s):  
Particle Image Velocimetry ◽  
Particle Image ◽  
Flow Characteristics ◽  
Flow Structures ◽  
Micro Channel ◽  
Pressure Drops ◽  
Micro Particle Image Velocimetry ◽  
Image Velocimetry ◽  
Micro Channels ◽  
Shape And Size

Flow structures and pressure drops were investigated in rectangular serpentine micro-channels with miter bends which had hydraulic diameters of 0.209mm, 0.395mm and 0.549mm respectively. To evaluate the bend effect, the additional pressure drop due to the miter bend must be obtained. Three groups of micro-channels were fabricated to remove the inlet and outlet losses. A validated micro-particle image velocimetry (μPIV) system was used to achieve the flow structure in a serpentine micro-channel with hydraulic diameter of 0.173mm. The experimental results show the vortices around the outer and inner walls of the bend do not form when Re<100. Those vortices appear and continue to develop with the Re number when Re> 100-300, and the shape and size of the vortices almost remain constant when Re>1000. The bend loss coefficient Kb was observed to be related with the Re number when Re<100, with the Re number and channel size when Re>100. It almost keeps constant and changes in the range of ± 10% When Re is larger than some value in 1300-1500. And a size effect on Kb was also observed.

scholarly journals A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3090 ◽  
Author(s):  
Fahrettin Ergin ◽  
Bo Watz ◽  
Nicolai Gade-Nielsen
Keyword(s):  
Image Processing ◽  
Particle Image Velocimetry ◽  
Particle Image ◽  
Relevant Information ◽  
Droplet Formation ◽  
Field Investigation ◽  
Cell Counting ◽  
Lab On Chip ◽  
Micro Particle Image Velocimetry ◽  
Image Velocimetry

Image-based sensor systems are quite popular in micro-scale flow investigations due to their flexibility and scalability. The aim of this manuscript is to provide an overview of current technical possibilities for Particle Image Velocimetry (PIV) systems and related image processing tools used in microfluidics applications. In general, the PIV systems and related image processing tools can be used in a myriad of applications, including (but not limited to): Mixing of chemicals, droplet formation, drug delivery, cell counting, cell sorting, cell locomotion, object detection, and object tracking. The intention is to provide some application examples to demonstrate the use of image processing solutions to overcome certain challenges encountered in microfluidics. These solutions are often in the form of image pre- and post-processing techniques, and how to use these will be described briefly in order to extract the relevant information from the raw images. In particular, three main application areas are covered: Micro mixing, droplet formation, and flow around microscopic objects. For each application, a flow field investigation is performed using Micro-Particle Image Velocimetry (µPIV). Both two-component (2C) and three-component (3C) µPIV systems are used to generate the reported results, and a brief description of these systems are included. The results include detailed velocity, concentration and interface measurements for micromixers, phase-separated velocity measurements for the micro-droplet generator, and time-resolved (TR) position, velocity and flow fields around swimming objects. Recommendations on, which technique is more suitable in a given situation are also provided.

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