TY - GEN
T1 - VELOCIMETRY FOR MEMS APPLICATIONS
AU - Wereley, Steven T.
AU - Meinhart, Carl D.
AU - Santiago, Juan G.
AU - Adrian, Ron J.
N1 - Funding Information:
This work is supported at UCSB by a grant from AFOSR/DARPA number F49620-97-1-0515 under the direction of Dr. Mark Glauser, by JPL/NASA under the direction of Dr. Bill Tang, and by the College of Engineering at UCSB. This work is supported at the University of Illinois by the Beckman Institute for Advanced Science and Technology and a Ford Foundation PostDoctoral Fellowship.
Publisher Copyright:
© 1998 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1998
Y1 - 1998
N2 - Particle image velocimetry (PIV), a technique commonly used at macroscopic length scales to measure velocity fields of particle-seeded flows, is adapted to measure velocity fields in microfluidic MEMS devices, where micron-scale spatial resolution is critical. Adapting PIV to the microscopic level presents a number of challenges, including visualizing tracer particles that are smaller than the wavelength of light and minimizing errors due to the Brownian motion of the tracer particles. High numerical aperture video microscopy is used to record the faint signals from fluorescent 300 nm particles. Innovative ensemble averaging and adaptive spatial shifting algorithms are used to extract maximal information from the recorded images. The PIV technique is used to measure a low Reynolds number Hele-Shaw flow around an 8 μm human red blood cell. The velocity vector field presented has a maximal spatial resolution of 3.2 × 3.2 × 1.5 μm.
AB - Particle image velocimetry (PIV), a technique commonly used at macroscopic length scales to measure velocity fields of particle-seeded flows, is adapted to measure velocity fields in microfluidic MEMS devices, where micron-scale spatial resolution is critical. Adapting PIV to the microscopic level presents a number of challenges, including visualizing tracer particles that are smaller than the wavelength of light and minimizing errors due to the Brownian motion of the tracer particles. High numerical aperture video microscopy is used to record the faint signals from fluorescent 300 nm particles. Innovative ensemble averaging and adaptive spatial shifting algorithms are used to extract maximal information from the recorded images. The PIV technique is used to measure a low Reynolds number Hele-Shaw flow around an 8 μm human red blood cell. The velocity vector field presented has a maximal spatial resolution of 3.2 × 3.2 × 1.5 μm.
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U2 - 10.1115/IMECE1998-1284
DO - 10.1115/IMECE1998-1284
M3 - Conference contribution
AN - SCOPUS:0040895767
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
SP - 453
EP - 459
BT - Micro-Electro-Mechanical Systems (MEMS)
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1998 International Mechanical Engineering Congress and Exposition, IMECE 1998
Y2 - 15 November 1998 through 20 November 1998
ER -