Python algorithms in particle tracking microrheology

Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties of the sample. The method requires intensive numerical data processing and tools allowing control of the calculation errors.

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Bibliographic Details
Main Authors: Maier, Timo (Author) , Haraszti, Tamás (Author)
Format: Article (Journal)
Language:English
Published: 13 September 2012
In: Chemistry central journal
Year: 2012, Volume: 6, Issue: 1
ISSN:1752-153X
DOI:10.1186/1752-153X-6-144
Online Access:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1186/1752-153X-6-144
Verlag, kostenfrei, Volltext: https://doi.org/10.1186/1752-153X-6-144
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Author Notes:Timo Maier and Tamás Haraszti

MARC

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