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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3545843/ https://ncbi.nlm.nih.gov/pubmed/23186362 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-153X-6-144 |
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