Python algorithms in particle tracking microrheology

Background 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. Results We report...

Full description

Saved in:

Bibliographic Details
Published in:	BMC chemistry Vol. 6; no. 1; p. 144
Main Authors:	Maier, Timo, Haraszti, Tamás
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 27.11.2012 Springer Nature B.V BioMed Central BMC
Subjects:	Adaptive sampling Algorithms Batch processing Chemistry Chemistry and Materials Science Chemistry/Food Science Compliance Conversion Data processing Dynamic interpolation Fourier transforms Mathematical analysis Mathematical models Mechanical properties Methods Numerical conversion method Packages Particle tracking Particle tracking microrheology Particle trajectories Permissible error Physical Chemistry Rheology Scripts Shear modulus Software Software library Studies Software library Numerical conversion method Particle tracking microrheology Dynamic interpolation
ISSN:	1752-153X, 1752-153X, 2661-801X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!