Title
Rapid vision-based shape and motion analysis system for fast-flowing cells in a microchannel
Abstract
This paper proposes a novel method for simultaneous cell shape and motion analysis in rapid microchannel flows based on a multi-object feature extraction algorithm with a frame-straddling high-speed vision platform. This system can synchronize two camera inputs that share the same view with only a very small sub-microsecond time delay. Real-time video processing is performed using the hardware logic by extracting the moment features of multiple cells at 2000 fps or more, which are obtained from the two camera inputs, and their frame-straddling time can be adjusted from 0 to 0.5 ms in 9.9 ns steps. After setting the frame-straddling time within a certain range to avoid large image displacements between the two camera inputs, the frame-straddling high-speed vision platform can perform simultaneous shape and motion analysis of cells in fast microchannel flows of 1 m/s or greater. The results of real-time experiments conducted to analyze the deformabilities, velocities, and shapes of fast-flowing sea urchin egg cells in straight and L-type microchannels verified the efficacy of our vision-based cell analysis system.
Year
DOI
Venue
2014
10.1109/ICRA.2014.6907719
ICRA
Keywords
Field
DocType
video signal processing,image displacement,fast-flowing cell,hardware logic,motion analysis system,multiobject feature extraction,cell shape,frame-straddling high-speed vision platform,vision-based shape analysis,feature extraction,vision-based cell analysis system,computer vision,l-type microchannel,rapid microchannel flows,sea urchin egg cells,microchannel flow,real-time video processing,submicrosecond time delay,image motion analysis
Computer vision,Computer graphics (images),Vision based,Microchannel,Artificial intelligence,Engineering,Motion analysis
Conference
Volume
Issue
ISSN
2014
1
1050-4729
Citations 
PageRank 
References 
1
0.38
5
Authors
4
Name
Order
Citations
PageRank
Qingyi Gu115322.13
Tadayoshi Aoyama26928.58
Takeshi Takaki322238.04
Idaku Ishii435564.37