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.
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
13 September 2012
|
| In: |
Chemistry central journal
Year: 2012, Jahrgang: 6, Heft: 1 |
| ISSN: | 1752-153X |
| DOI: | 10.1186/1752-153X-6-144 |
| Online-Zugang: | 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 
|
| Verfasserangaben: | Timo Maier and Tamás Haraszti |
| Zusammenfassung: | 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. |
|---|---|
| Beschreibung: | Gesehen am 16.08.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 1752-153X |
| DOI: | 10.1186/1752-153X-6-144 |