2012
DOI: 10.1007/s00348-012-1357-6
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A vision-based hybrid particle tracking velocimetry (PTV) technique using a modified cascade correlation peak-finding method

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Cited by 31 publications
(37 citation statements)
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“…Mickoleit et al and our laboratory have developed a rigorous method for reconstruction of zebrafish RBC movement in 3D with a high spatiotemporal system (35); however, modeling the circulating RBCs remains unresolved. Further optimization of the 4D light-sheet imaging methods may allow improved 4D volume-mapping techniques in future work (47).…”
Section: Discussionmentioning
confidence: 99%
“…Mickoleit et al and our laboratory have developed a rigorous method for reconstruction of zebrafish RBC movement in 3D with a high spatiotemporal system (35); however, modeling the circulating RBCs remains unresolved. Further optimization of the 4D light-sheet imaging methods may allow improved 4D volume-mapping techniques in future work (47).…”
Section: Discussionmentioning
confidence: 99%
“…Typically, the boundaries of the particle images are defined to be at the radial location at which the intensity has decreased to e -2 of the center value. Thus, the critical area is A crit = p D 2 , since particle images share the same boundary if the centers have a distance of D. Lei et al (2012) have shown that the detection of the particle image center is still possible even when the particle image overlap reaches 50 % (L = D/2), which implies that the critical area reduces to A crit = p L 2 , with L being the distance of particle image centers that can be separated. Figure 1 illustrates the ratio of overlapping particle images as a function of L for different particle image densities N ppp .…”
Section: Particle Image Positioningmentioning
confidence: 99%
“…These images have been used by many other researchers, and a detailed analysis and comprehensive collection of the results throughout the literature can be found in Lei et al (2012). Ohmi and Li (2000) applied a particle image identification algorithm first and were able to detect approximately 1,000 to 1,300 particles images out of the total 4,000 particle images per frame.…”
Section: Vsj Standard Piv Imagesmentioning
confidence: 99%
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