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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...
Autores principales: | Maier, Timo, Haraszti, Tamás |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
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 |
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