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JRM Vol.25 No.4 pp. 586-595
doi: 10.20965/jrm.2013.p0586
(2013)

Paper:

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A Real-Time Microscopic PIV System Using Frame Straddling High-Frame-Rate Vision

Motofumi Kobatake, Tadayoshi Aoyama, Takeshi Takaki,
and Idaku Ishii

Robotics Laboratory, Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan

Received:
January 24, 2013
Accepted:
May 21, 2013
Published:
August 20, 2013
Creative Commons License
Keywords:
lab-on-a-chip (LOC), microscopic flow measurement, particle image velocimetry (PIV), gradientbased optical flow, real-time image processing
Abstract
In this paper, we propose a novel concept of realtime microscopic particle image velocimetry (PIV) for apparent high-speed microchannel flows in lab-on-achip (LOC). We introduce a frame-straddling dualcamera high-speed vision system that synchronizes two different camera inputs for the same camera view with a submicrosecond time delay. In order to improve upper and lower limits of measurable velocity in microchannel flow observation, we designed an improved gradient-based optical flow algorithm that adaptively selects a pair of images in the optimal frame-straddling time between the two camera inputs based on the amplitude of the estimated optical flow. This avoids large image displacement between frames that often generates serious errors in optical flow estimation. Our method is implemented using software on a frame-straddling dual-camera high-speed vision platform that captures real-time video and processes 512 × 512 pixel images at 2000 fps for the two camera heads and controls the frame-straddling time delay between them from 0 to 0.25 ms with 9.9 ns step. Our microscopic PIV system with frame-straddling dualcamera high-speed vision simultaneously estimates the velocity distribution of high-speed microchannel flow at 1 × 108 pixel/s or more. Results of experiments using real microscopic flows on microchannels thousands of µm wide on LOCs verify the performance of the real-time microscopic PIV system we developed.
Cite this article as:
M. Kobatake, T. Aoyama, T. Takaki, and I. Ishii, “A Real-Time Microscopic PIV System Using Frame Straddling High-Frame-Rate Vision,” J. Robot. Mechatron., Vol.25 No.4, pp. 586-595, 2013.
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