particle image velocimetry toolbox for Search Results


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The Company of Biologists digital particle image velocimetry (dpiv)
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Particle Image Velocimetry, A Practical Guide, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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LaVision Inc two-dimensional lavision particle imaging velocimetry (piv) system
Two-dimensional particle image <t>velocimetry</t> uses a high-resolution camera to view particles within a viewing chamber (yellow arrow) of aortic root. A laser light sheet illuminates particles in a plane that passes through two of the three sinuses.
Two Dimensional Lavision Particle Imaging Velocimetry (Piv) System, supplied by LaVision Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TSI Incorporated particle image velocimetry (piv) system
Two-dimensional particle image <t>velocimetry</t> uses a high-resolution camera to view particles within a viewing chamber (yellow arrow) of aortic root. A laser light sheet illuminates particles in a plane that passes through two of the three sinuses.
Particle Image Velocimetry (Piv) System, supplied by TSI Incorporated, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc particle image velocimetry algorithm
Figure 5. a) Superimposed time-lapse images showing the acoustic streaming pattern around microrobots with 6 and 18 oscillating microbubbles. b) Computation of the flow analysis using particle image <t>velocimetry</t> algorithm (PIVlab, MATLAB).[38] A sectional line A–A 0 is selected at the inlet side of the microrobot to analyze the flow velocity magnitude profile of a selected frame. c) The flow velocity magnitude profile along the line A–A 0. In the n = 6 case, the maximal flow velocity is 0.99 mm s1, whereas in the n = 18 case, the maximal flow velocity is 1.77 mm s1. This result shows that the acoustic streaming intensity can be strengthened in multibubble systems with a larger number of simultaneously oscillating bubbles. The x-axis from left to right corresponds to the section line from top to bottom in (b). Scale bars are 500 μm.
Particle Image Velocimetry Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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COMSOL Inc particle image velocimetry technique
Figure 5. a) Superimposed time-lapse images showing the acoustic streaming pattern around microrobots with 6 and 18 oscillating microbubbles. b) Computation of the flow analysis using particle image <t>velocimetry</t> algorithm (PIVlab, MATLAB).[38] A sectional line A–A 0 is selected at the inlet side of the microrobot to analyze the flow velocity magnitude profile of a selected frame. c) The flow velocity magnitude profile along the line A–A 0. In the n = 6 case, the maximal flow velocity is 0.99 mm s1, whereas in the n = 18 case, the maximal flow velocity is 1.77 mm s1. This result shows that the acoustic streaming intensity can be strengthened in multibubble systems with a larger number of simultaneously oscillating bubbles. The x-axis from left to right corresponds to the section line from top to bottom in (b). Scale bars are 500 μm.
Particle Image Velocimetry Technique, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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LaVision Inc stereo piv system
Figure 5. a) Superimposed time-lapse images showing the acoustic streaming pattern around microrobots with 6 and 18 oscillating microbubbles. b) Computation of the flow analysis using particle image <t>velocimetry</t> algorithm (PIVlab, MATLAB).[38] A sectional line A–A 0 is selected at the inlet side of the microrobot to analyze the flow velocity magnitude profile of a selected frame. c) The flow velocity magnitude profile along the line A–A 0. In the n = 6 case, the maximal flow velocity is 0.99 mm s1, whereas in the n = 18 case, the maximal flow velocity is 1.77 mm s1. This result shows that the acoustic streaming intensity can be strengthened in multibubble systems with a larger number of simultaneously oscillating bubbles. The x-axis from left to right corresponds to the section line from top to bottom in (b). Scale bars are 500 μm.
Stereo Piv System, supplied by LaVision Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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KOKEN CO particle image velocimetry (piv) method
Figure 5. a) Superimposed time-lapse images showing the acoustic streaming pattern around microrobots with 6 and 18 oscillating microbubbles. b) Computation of the flow analysis using particle image <t>velocimetry</t> algorithm (PIVlab, MATLAB).[38] A sectional line A–A 0 is selected at the inlet side of the microrobot to analyze the flow velocity magnitude profile of a selected frame. c) The flow velocity magnitude profile along the line A–A 0. In the n = 6 case, the maximal flow velocity is 0.99 mm s1, whereas in the n = 18 case, the maximal flow velocity is 1.77 mm s1. This result shows that the acoustic streaming intensity can be strengthened in multibubble systems with a larger number of simultaneously oscillating bubbles. The x-axis from left to right corresponds to the section line from top to bottom in (b). Scale bars are 500 μm.
Particle Image Velocimetry (Piv) Method, supplied by KOKEN CO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/particle+image+velocimetry+toolbox+for/piv+software+flow+expert/10__1016_slash_j__tsep__2024__102650-90-7-18
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Image Search Results


Two-dimensional particle image velocimetry uses a high-resolution camera to view particles within a viewing chamber (yellow arrow) of aortic root. A laser light sheet illuminates particles in a plane that passes through two of the three sinuses.

Journal: Asaio Journal

Article Title: Aortic Root Vortex Formation During Left Ventricular Assist Device Support

doi: 10.1097/MAT.0000000000002298

Figure Lengend Snippet: Two-dimensional particle image velocimetry uses a high-resolution camera to view particles within a viewing chamber (yellow arrow) of aortic root. A laser light sheet illuminates particles in a plane that passes through two of the three sinuses.

Article Snippet: Flow visualization is performed with a two-dimensional LaVision particle imaging velocimetry (PIV) system (LaVision Inc., Goettingen, Germany) using a high-resolution CCD camera (Imager Intense 3 CMOS) equipped with a wide-angle Nikon AF NIKKOR lens and a fluorescent cutoff filter (450 nm) illustrated in Figure , which measures the velocity in a single plane within the model.

Techniques:

Figure 5. a) Superimposed time-lapse images showing the acoustic streaming pattern around microrobots with 6 and 18 oscillating microbubbles. b) Computation of the flow analysis using particle image velocimetry algorithm (PIVlab, MATLAB).[38] A sectional line A–A 0 is selected at the inlet side of the microrobot to analyze the flow velocity magnitude profile of a selected frame. c) The flow velocity magnitude profile along the line A–A 0. In the n = 6 case, the maximal flow velocity is 0.99 mm s1, whereas in the n = 18 case, the maximal flow velocity is 1.77 mm s1. This result shows that the acoustic streaming intensity can be strengthened in multibubble systems with a larger number of simultaneously oscillating bubbles. The x-axis from left to right corresponds to the section line from top to bottom in (b). Scale bars are 500 μm.

Journal: Advanced Intelligent Systems

Article Title: Acoustically Actuated Flow in Microrobots Powered by Axisymmetric Resonant Bubbles

doi: 10.1002/aisy.202300465

Figure Lengend Snippet: Figure 5. a) Superimposed time-lapse images showing the acoustic streaming pattern around microrobots with 6 and 18 oscillating microbubbles. b) Computation of the flow analysis using particle image velocimetry algorithm (PIVlab, MATLAB).[38] A sectional line A–A 0 is selected at the inlet side of the microrobot to analyze the flow velocity magnitude profile of a selected frame. c) The flow velocity magnitude profile along the line A–A 0. In the n = 6 case, the maximal flow velocity is 0.99 mm s1, whereas in the n = 18 case, the maximal flow velocity is 1.77 mm s1. This result shows that the acoustic streaming intensity can be strengthened in multibubble systems with a larger number of simultaneously oscillating bubbles. The x-axis from left to right corresponds to the section line from top to bottom in (b). Scale bars are 500 μm.

Article Snippet: We analyze the flow velocity at the inlet side (Figure 5a) using the particle image velocimetry algorithm (PIVlab toolbox, MATLAB)[38] and determine the peak velocity by analyzing the particle velocity along the sectional line perpendicular to the flow direction (Figure 5b, Movie S3, Supporting Information).

Techniques: