Results 131 to 140 of about 3,041 (178)

Mechanics control the proliferation of diatoms entrapped in hydrogels. [PDF]

Soft Matter
Boons R, Gerber D, Style RW, Droux A, Zimmermann T, Nyström G, Siqueira G, Studart AR.   +7 more
europepmc   +1 more source

Portable Cell Tracking Velocimetry for Quantification of Intracellular Fe Concentration of Blood Cells. [PDF]

Micromachines (Basel)
Tran LNT, Paz Gonzalez KM, Choe H, Wu X, Strayer J, Iyer PR, Zborowski M, Chalmers J, Gomez-Pastora J.   +8 more
europepmc   +1 more source

Optical coherence tomography in soft matter.

Soft Matter
Amini K, Wittig C, Saoncella S, Tammisola O, Lundell F, Bagheri S.   +5 more
europepmc   +1 more source

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SOM-Based particle matching algorithm for 3D particle tracking velocimetry

Applied Mathematics and Computation, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kazuo Ohmi
exaly   +3 more sources

Streamflow Observations From Cameras: Large‐Scale Particle Image Velocimetry or Particle Tracking Velocimetry?

Water Resources Research, 2017
AbstractImage‐based methodologies, such as large scale particle image velocimetry (LSPIV) and particle tracking velocimetry (PTV), have increased our ability to noninvasively conduct streamflow measurements by affording spatially distributed observations at high temporal resolution.
Salvatore Grimaldi, Rodolfo Piscopia
exaly   +3 more sources

A Vision-Based Particle Tracking Velocimetry

Real-Time Imaging, 2001
Summary: Particle Image Velocimetry (PIV) is a non-intrusive optical technique to measure velocity of flows. It provides the simultaneous visualization of the streamline pattern in unsteady flows and the quantification of the velocity field over the image plane. To reveal the flow motion, the flow is seeded by small scattering particles.
NESI, PAOLO, DE LUCIA, MAURIZIO, ROSSI, FRANCESCA, BALDASSARRE, ANTONIO   +3 more
openaire   +3 more sources

Particle Tracking Velocimetry using the genetic algorithm

Journal of Visualization, 2009
A new concept genetic algorithm (GA) has been implemented and tested for the use in the 2-D and 3-D Particle Tracking Velocimetry (PTV). The algorithm is applicable to particle images with larger (greater than 2000) number of particles without losing the excellent accuracy in the particle matching results.
Kazuo Ohmi, Sanjeeb Prasad Panday
openaire   +1 more source

Particle Tracking Velocimetry in Noisy Environment

Volume 1: Fluid Applications and Systems; Fluid Measurement and Instrumentation, 2020
Abstract The encoded Particle Tracking Velocimetry (ePTV) is introduce in this paper as a specific approach of Particle Tracking Velocimetry (PTV). This method is applied to track particles obtained from flow images that contain significant background noise and relatively low particle density.
Seyedmohammad Mousavisani, Scott D. Kelly, Sajad Kafashi, Stuart T. Smith   +3 more
openaire   +1 more source

Particle design for displacement tracking velocimetry

Measurement Science and Technology, 1995
Particle displacement tracking velocimetry is used to obtain full-field minimally invasive velocity measurement of natural convective flow in multiple immiscible liquid layers. The quality of the obtained signals depends very much on the particles used.
T Schmitt, J N Koster, H Hamacher
openaire   +1 more source

A variational approach for particle tracking velocimetry

Measurement Science and Technology, 2005
We introduce a novel variational approach for evaluating PTV image pairs and sequences in two and three dimensions. We combine a discrete non-differentiable particle matching term with a continuous regularization term. An advanced mathematical method guarantees convergence to a local minimum.
P Ruhnau, C Guetter, T Putze, C Schnörr
openaire   +1 more source