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.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
13 September 2012
|
| In: |
Chemistry central journal
Year: 2012, Volume: 6, Issue: 1 |
| ISSN: | 1752-153X |
| DOI: | 10.1186/1752-153X-6-144 |
| Online Access: | 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 
|
| Author Notes: | Timo Maier and Tamás Haraszti |
| Summary: | 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. |
|---|---|
| Item Description: | Gesehen am 16.08.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1752-153X |
| DOI: | 10.1186/1752-153X-6-144 |