Statistical and sampling issues when using multiple particle tracking.

Statistical and sampling issues when using multiple particle tracking. Research Abstract Details 

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Statistical and sampling issues when using multiple particle tracking. Abstract Text:

Thierry Savin,Patrick S Doyle,

Video microscopy can be used to simultaneously track several microparticles embedded in a complex material. The trajectories are used to extract a sample of displacements at random locations in the material. From this sample, averaged quantities characterizing the dynamics of the probes are calculated to evaluate structural and/or mechanical properties of the assessed material. However, the sampling of measured displacements in heterogeneous systems is singular because the volume of observation with video microscopy is finite. By carefully characterizing the sampling design in the experimental output of the multiple particle tracking technique, we derive estimators for the mean and variance of the probes' dynamics that are independent of the peculiar statistical characteristics. We expose stringent tests of these estimators using simulated and experimental complex systems with a known heterogeneous structure. Up to a certain fundamental limitation, which we characterize through a material degree of sampling by the embedded probe tracking, these estimators can be applied to quantify the heterogeneity of a material, providing an original and intelligible kind of information on complex fluid properties. More generally, we show that the precise assessment of the statistics in the multiple particle tracking output sample of observations is essential in order to provide accurate unbiased measurements.

Statistical and sampling issues when using multiple particle tracking. Publishing Authors By Initials

T Savin,PS Doyle,

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Statistical and sampling issues when using multiple particle tracking. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Physical review. E, Statistical, nonlinear, and so

VOLUME: 76

Page Numbers: 021501

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ISSN: 1539-3755

DAY: 8

MONTH: 08

YEAR: 2007

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LANGUAGE: eng

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AFFILIATION: Chemical Engineering Department, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.

Country: United States

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MEDLINETA: Phys Rev E Stat Nonlin Soft Ma

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