Abstract
We develop a high throughput microscopic particle image velocimetry system that can compute flow vectors of 512 × 512 pixels in real time at 500 fps for fast microchannel flow. To compute many flow vectors at high speed, a gradient-based optical flow method is accelerated by calculating integral images of product sums of image brightness gradients and implementing them as parallel processes on a GPU-based frame-straddling high-frame-rate (HFR) vision system. Thus, the HFR vision system, having two cameras with a time delay function, can simultaneously compute hundreds of millions of flow vectors in a second, assuming a small image displacement between frames with a submillisecond delay. We conducted real-time flow measurement experiments to quantify capillary-level microchannel flow in a microfluidic chip with many 7-μm-width channels, and verified the high throughput performance of our system for long-term microchannel blood flow analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Santiago JG, Wereley ST, Meinhart CD, Beebe DJ, Adrian RJ (1998) A particle image velocimetry system for microfluidics. Exp Fluids 25(4):316–319
Mielnik MM, Saetran LR (2005) Micro particle image velocimetry: an overview. Exp Fluids 38(3):1–8
Meinhart CD, Wereley ST, Santiago JG (1999) PIV measurements of a microchannel flow. Exp Fluids 27(5):414–419
Sharp KV, Adrian RJ (2004) Transition from laminar to turbulent flow in liquid filled microtubes. Exp Fluids 36(5):741–747
Klank H, Goranovic G, Kutter JP, Gjelstrup H, Michelsen J, Westergaard CH (2002) PIV measurements in a microfluidic 3D sheathing structure with three-dimensional flow behaviour. J Micromech Microeng 12(6):862–869
Meinhart CD, Zhang H (2000) The flow structure inside a microfabricated inkjet printhead. J Microelectromech Syst 9(1):67–75
Sugii Y, Nishio S, Okamoto K (2002) In vivo PIV measurement of red blood cell velocity field in microvessels considering mesentery motion. Physiol Meas 23(2):403–416
Chiu J, Chen C, Lee P, Yang C, Chuang H, Chien S, Usami S (2003) Analysis of the effect of distributed flow on monocytic adhesion to endothelial cells. J Biomech 36(12):1883–1895
Kim G, Lee S (2006) X-ray PIV measurements of blood flows without tracer particles. Exp Fluids 41(2):195–200
Vennemann P, Kiger KT, Lindken R, Groenendijk BCW, Stekelenburg-DeVos S, Ten Hagen TLM, Ursem NTC, Poelmann RE, Westerweel J, Hierck BP (2006) In vivo micro particle image velocimetry measurements of blood-plasma in the embryonic avian heart. J Biomech 39(7):1191–1200
Lima R, Wada S, Tanaka S, Takeda M, Ishikawa T, Tsubota K, Imai Y, Yamaguchi T (2008) In vitro blood flow in a rectangular PDMS microchannel: experimental observations using a confocal micro-PIV system. Biomed Microdevices 10(2):153–167
Hart DP (2000) Super-resolution PIV by recursive local-correlation. J Visual 3(2):13–22
Sugii Y, Nishio S, Okuno T, Okamoto K (2000) highly accurate iterative PIV technique using a gradient method. Meas Sci Technol 11(12):1666–1673
Kobatake M, Takaki T, Ishii I (2012) A real-time micro-PIV system using frame-straddling high-speed vision. Proceedings of the IEEE International Conference Robotics Automation pp 397–402, St. Paul, Minnesota, May 2012
Ishii I, Tatebe T, Gu Q, Moriue Y, Takaki T, Tajima K (2010) 2000 fps real-time vision system with high-frame-rate video recording. Proceedings of IEEE International Conference on Robotics and Automation pp 1536–1541, Anchorage, Alaska, May 2010
Kikuchi Y, Sato K, Mizuguchi Y (1994) Modified cell flow microchannels in a single-crystal silicon substrate and flow behavior of blood cells. Microvasc Res 47(1):126–139
Lucas B, Kanade T (1981) An iterative image registration technique with applications in stereo vision. Proceedings of the DARPA Image Understanding Workshop pp 121–130, Washington DC, April 1981
Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 511–518, Kauai, Hawaii, December 2001
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Japan
About this chapter
Cite this chapter
Ishii, I., Aoyama, T. (2015). Real-time Capillary-level Microchannel Flow Analysis Using a Full-pixel Frame-straddling Micro-PIV System. In: Arai, T., Arai, F., Yamato, M. (eds) Hyper Bio Assembler for 3D Cellular Systems. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55297-0_3
Download citation
DOI: https://doi.org/10.1007/978-4-431-55297-0_3
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55296-3
Online ISBN: 978-4-431-55297-0
eBook Packages: EngineeringEngineering (R0)