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 repor...

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Detalles Bibliográficos
Autores principales: Maier, Timo, Haraszti, Tamás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545843/
https://www.ncbi.nlm.nih.gov/pubmed/23186362
http://dx.doi.org/10.1186/1752-153X-6-144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545843/
https://www.ncbi.nlm.nih.gov/pubmed/23186362
http://dx.doi.org/10.1186/1752-153X-6-144

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