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 report...
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| Vydané v: | BMC chemistry Ročník 6; číslo 1; s. 144 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Cham
Springer International Publishing
27.11.2012
Springer Nature B.V BioMed Central BMC |
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| ISSN: | 1752-153X, 1752-153X, 2661-801X |
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| Abstract | 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 report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner.
Conclusions
The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. |
|---|---|
| AbstractList | 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 report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner.
Conclusions
The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. 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.BACKGROUNDParticle 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.We report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner.RESULTSWe report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner.The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%.CONCLUSIONSThe presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. BackgroundParticle 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.ResultsWe report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner.ConclusionsThe presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. 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. We report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner. The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. Abstract 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 report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner. Conclusions The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. Doc number: 144 Abstract 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 report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner. Conclusions: The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. 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 report the development of a software package collecting functions and scripts written in Python for automated and manual data processing, to extract viscoelastic information about the sample using recorded particle trajectories. The resulting program package analyzes the fundamental diffusion characteristics of particle trajectories and calculates the frequency dependent complex shear modulus using methods published in the literature. In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner. Conclusions: The presented set of algorithms allows for flexible data processing for particle tracking microrheology. The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%. |
| ArticleNumber | 144 |
| Author | Maier, Timo Haraszti, Tamás |
| AuthorAffiliation | 2 Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg, Im Neuenheimer Feld 253, 69120 Heidelberg, Germany 1 Max-Planck Institute for Intelligent Systems, Advanced Materials and Biosystems, Heisenberg str. 3, 70569 Stuttgart, Germany |
| AuthorAffiliation_xml | – name: 1 Max-Planck Institute for Intelligent Systems, Advanced Materials and Biosystems, Heisenberg str. 3, 70569 Stuttgart, Germany – name: 2 Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg, Im Neuenheimer Feld 253, 69120 Heidelberg, Germany |
| Author_xml | – sequence: 1 givenname: Timo surname: Maier fullname: Maier, Timo organization: Max-Planck Institute for Intelligent Systems, Advanced Materials and Biosystems, Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg – sequence: 2 givenname: Tamás surname: Haraszti fullname: Haraszti, Tamás email: tamas.haraszti@uni-heidelberg.de organization: Max-Planck Institute for Intelligent Systems, Advanced Materials and Biosystems, Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23186362$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1007_s00397_021_01312_1 crossref_primary_10_1073_pnas_2216497120 crossref_primary_10_1088_0953_8984_28_30_305201 crossref_primary_10_1038_s41538_021_00111_5 crossref_primary_10_1371_journal_pone_0136432 crossref_primary_10_1038_s41467_022_32876_y crossref_primary_10_1016_j_colsurfa_2019_123574 |
| Cites_doi | 10.1007/s00397-008-0320-1 10.1103/PhysRevLett.79.3282 10.1088/0034-4885/68/3/R04 10.1021/ma9803032 10.1016/j.bpj.2009.12.4282 10.1146/annurev.biophys.050708.133724 10.1006/jcis.1996.0217 10.1103/PhysRevLett.85.888 10.1109/MCSE.2007.55 10.1103/PhysRevE.65.051505 10.1016/S0006-3495(02)75672-5 10.1103/PhysRevLett.74.1250 10.1103/PhysRevLett.79.3286 10.1016/S0006-3495(99)77225-5 10.1016/S0006-3495(97)78820-9 10.1088/1478-3967/2/1/008 10.1529/biophysj.104.042457 10.1063/1.2957464 10.1021/ma980304u 10.1007/s003970000094 10.1063/1.457480 10.1152/ajpcell.00193.2007 10.1146/annurev-fluid-121108-145608 10.1529/biophysj.107.123851 10.1529/biophysj.106.096966 10.1103/PhysRevE.76.021501 10.1103/PhysRevE.80.012501 10.1103/PhysRevE.86.011501 10.1103/PhysRevE.70.021503 |
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| Copyright | Maier and Haraszti; licensee Chemistry Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 2012 Maier and Haraszti; licensee Chemistry Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright Springer Nature B.V. Dec 2012 Copyright ©2012 Maier and Haraszti; licensee Chemistry Central Ltd. 2012 Maier and Haraszti; licensee Chemistry Central Ltd. |
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| Keywords | Software library Numerical conversion method Particle tracking microrheology Dynamic interpolation |
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| References | Dangaria, Butler (CR1) 2007; 293 Crocker, Grier (CR16) 1996; 179 Morse (CR34) 1998; 31 Tassieri (CR13) 2011 Flyvbjerg, Petersen (CR29) 1989; 91 Mason, Ganesan, van Zanten, Wirtz, Kuo (CR6) 1997; 79 CR12 CR11 Savin, Spicer, Doyle (CR23) 2008; 93 Savin, Doyle (CR21) 2007; 76 Rogers, Waigh, Lu (CR19) 2008; 94 Milne (CR26) 2006 Maier, Boehm, Haraszti (CR41) 2012; 86 Tejedor, Benichou, Voituriez, Jungmann, Simmel, Selhuber-Unkel, Oddershede, Metzler (CR40) 2010; 98 Saxton (CR30) 1997; 72 Hunter (CR15) 2007; 9 Morse (CR35) 1998; 31 Crocker, Valentine, Weeks, Gisler, Kaplan, Yodh, Weitz (CR37) 2000; 85 Gittes, Schnurr, Olmsted, MacKintosh, Schmidt (CR36) 1997; 79 Carter, Shubeita, Gross (CR20) 2005; 2 Evans, Tassieri, Auhl, Waigh (CR31) 2009; 80 Mason (CR7) 2000; 39 Squires, Mason (CR8) 2010; 42 Waigh (CR3) 2005; 68 Goodwin, Hughes (CR9) 2008 Mezger (CR10) 2011 Mason, Weitz (CR5) 1995; 74 CR27 CR25 Jones, Oliphant, Peterson (CR14) 2001 Savin, Doyle (CR22) 2005; 88 CR24 Haraszti (CR28) 2012 Press, Teukolsky, Vetterling, FB (CR32) 2002 Wirtz (CR4) 2009; 38 Gosse, Croquette (CR18) 2002; 82 Bausch, Moller, Sackmann (CR2) 1999; 76 Dasgupta, Tee, Crocker, Frisken, Weitz (CR38) 2002; 65 Cheong, Duarte, Lee, Grier (CR39) 2009; 48 Brangwynne, Koenderink, Barry, Dogic, MacKintosh, Weitz (CR17) 2007; 93 Addas, Schmidt, Tang (CR33) 2004; 70 T Savin (516_CR22) 2005; 88 JW Goodwin (516_CR9) 2008 T Haraszti (516_CR28) 2012 DC Morse (516_CR35) 1998; 31 M Tassieri (516_CR13) 2011 WH Press (516_CR32) 2002 TG Mason (516_CR5) 1995; 74 E Jones (516_CR14) 2001 SS Rogers (516_CR19) 2008; 94 H Flyvbjerg (516_CR29) 1989; 91 TG Mason (516_CR6) 1997; 79 RML Evans (516_CR31) 2009; 80 T Savin (516_CR23) 2008; 93 TM Squires (516_CR8) 2010; 42 F Cheong (516_CR39) 2009; 48 516_CR27 516_CR25 516_CR24 AR Bausch (516_CR2) 1999; 76 M Saxton (516_CR30) 1997; 72 DC Morse (516_CR34) 1998; 31 JC Crocker (516_CR37) 2000; 85 G Milne (516_CR26) 2006 T Maier (516_CR41) 2012; 86 CP Brangwynne (516_CR17) 2007; 93 JC Crocker (516_CR16) 1996; 179 C Gosse (516_CR18) 2002; 82 T Savin (516_CR21) 2007; 76 JHH Dangaria (516_CR1) 2007; 293 TG Mezger (516_CR10) 2011 F Gittes (516_CR36) 1997; 79 D Wirtz (516_CR4) 2009; 38 BC Carter (516_CR20) 2005; 2 KM Addas (516_CR33) 2004; 70 V Tejedor (516_CR40) 2010; 98 TA Waigh (516_CR3) 2005; 68 TG Mason (516_CR7) 2000; 39 516_CR12 JD Hunter (516_CR15) 2007; 9 BR Dasgupta (516_CR38) 2002; 65 516_CR11 |
| References_xml | – volume: 48 start-page: 109 year: 2009 end-page: 115 ident: CR39 article-title: Holographic microrheology of polysaccharides from streptococcus mutans biofilms publication-title: Rheologica Acta doi: 10.1007/s00397-008-0320-1 – volume: 79 start-page: 3282 year: 1997 end-page: 3285 ident: CR6 article-title: Particle tracking microrheology of complex fluids publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.79.3282 – volume: 68 start-page: 685 issue: 3 year: 2005 ident: CR3 article-title: Microrheology of complex fluids publication-title: Rep Prog Phys doi: 10.1088/0034-4885/68/3/R04 – volume: 31 start-page: 7030 issue: 20 year: 1998 end-page: 3043 ident: CR35 article-title: Viscoelasticity of concentrated isotropic solutions of semiflexible polymers. 1. model and stress tensor publication-title: Macromolecules doi: 10.1021/ma9803032 – volume: 98 start-page: 1364 issue: 7 year: 2010 end-page: 1372 ident: CR40 article-title: Quantitative analysis of single particle trajectories: mean maximal excursion method publication-title: Biophys J doi: 10.1016/j.bpj.2009.12.4282 – volume: 38 start-page: 301 year: 2009 end-page: 326 ident: CR4 article-title: Particle-tracking microrheology of living cells: principles and applications publication-title: Annu Rev Biophys doi: 10.1146/annurev.biophys.050708.133724 – volume: 179 start-page: 298 year: 1996 end-page: 310 ident: CR16 article-title: Methods of digital video microscopy for colloidal studies publication-title: J Colloid Interface Sci doi: 10.1006/jcis.1996.0217 – volume: 85 start-page: 888 issue: 4 year: 2000 end-page: 891 ident: CR37 article-title: Two-point microrheology of inhomogeneous soft materials publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.85.888 – ident: CR12 – year: 2001 ident: CR14 publication-title: SciPy: Open source scientific tools for Python – volume: 9 start-page: 90 issue: 3 year: 2007 end-page: 95 ident: CR15 article-title: Matplotlib: A 2D graphics environment publication-title: Comput Sci Eng doi: 10.1109/MCSE.2007.55 – volume: 65 start-page: 051505 issue: 5 year: 2002 ident: CR38 article-title: Microrheology of polyethylene oxide using diffusing wave spectroscopy and single scattering publication-title: Phys Rev E doi: 10.1103/PhysRevE.65.051505 – year: 2008 ident: CR9 publication-title: Rheology for Chemists. An Introduction – volume: 82 start-page: 3314 issue: 6 year: 2002 end-page: 3329 ident: CR18 article-title: Magnetic tweezers: micromanipulation and force measurement at the molecular level publication-title: Biophys J doi: 10.1016/S0006-3495(02)75672-5 – volume: 74 start-page: 1250 issue: 7 year: 1995 end-page: 1253 ident: CR5 article-title: Optical measurements of frequency-dependent linear viscoelastic moduli of complex fluids publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.74.1250 – volume: 79 start-page: 3286 issue: 17 year: 1997 end-page: 3289 ident: CR36 article-title: Microscopic viscoelasticity: shear moduli of soft materials determined from thermal fluctuations publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.79.3286 – volume: 76 start-page: 573 year: 1999 end-page: 579 ident: CR2 article-title: Measurement of local viscoelasticity and forces in living cells by magnetic tweezers publication-title: Biophys J doi: 10.1016/S0006-3495(99)77225-5 – volume: 72 start-page: 1744 issue: 4 year: 1997 end-page: 1753 ident: CR30 article-title: Single-particle tracking: the distribution of diffusion coefficients publication-title: Biophys J doi: 10.1016/S0006-3495(97)78820-9 – volume: 2 start-page: 60 year: 2005 ident: CR20 article-title: Tracking single particles: a user-friendly quantitative evaluation publication-title: Phys Biol doi: 10.1088/1478-3967/2/1/008 – volume: 88 start-page: 623 year: 2005 end-page: 638 ident: CR22 article-title: Static and dynamic errors in particle tracking microrheology publication-title: Biophys J doi: 10.1529/biophysj.104.042457 – ident: CR25 – ident: CR27 – volume: 93 start-page: 024102 issue: 2 year: 2008 ident: CR23 article-title: A rational approach to noise discrimination in video microscopy particle tracking publication-title: App Phys Lett doi: 10.1063/1.2957464 – volume: 31 start-page: 7044 issue: 20 year: 1998 end-page: 7067 ident: CR34 article-title: Viscoelasticity of concentrated isotropic solutions of semiflexible polymers. 2. Linear Response publication-title: Macromolecules doi: 10.1021/ma980304u – year: 2002 ident: CR32 publication-title: Numerical recipes in C++ – volume: 39 start-page: 371 issue: 4 year: 2000 end-page: 378 ident: CR7 article-title: Estimating the viscoelastic moduli of complex fluids using the generalized Stokes-E, instein equation publication-title: Rheologica Acta doi: 10.1007/s003970000094 – volume: 91 start-page: 461 year: 1989 end-page: 466 ident: CR29 article-title: Error estimates on averages of correlated data publication-title: J Chem Phys doi: 10.1063/1.457480 – volume: 293 start-page: C1568 year: 2007 end-page: C1575 ident: CR1 article-title: Macrorheology and adaptive microrheology of endothelial cells subjected to fluid shear stress publication-title: Am J Physiol Cell Physiol doi: 10.1152/ajpcell.00193.2007 – volume: 42 start-page: 413 year: 2010 end-page: 438 ident: CR8 article-title: Fluid mechanics of microrheology publication-title: Annu Rev Fluid Mech doi: 10.1146/annurev-fluid-121108-145608 – ident: CR11 – year: 2011 ident: CR10 publication-title: The Rheology Handbook. 3rd revised edition. Vincentz Network GmbH & Co. KG , Plathnerstr. 4c – year: 2011 ident: CR13 publication-title: Compliance to complex moduli, version 2 – volume: 94 start-page: 3313 issue: 8 year: 2008 end-page: 3322 ident: CR19 article-title: Intracellular microrheology of motile amoeba proteus publication-title: Biophys J doi: 10.1529/biophysj.107.123851 – volume: 93 start-page: 346 year: 2007 end-page: 359 ident: CR17 article-title: Bending dynamics of fluctuating biopolymers probed by automated high-resolution filament tracking publication-title: Biophys J doi: 10.1529/biophysj.106.096966 – ident: CR24 – year: 2006 ident: CR26 publication-title: Particle tracking – volume: 76 start-page: 021501 issue: 2 year: 2007 ident: CR21 article-title: Statistical and sampling issues when using multiple particle tracking publication-title: Phys Rev E doi: 10.1103/PhysRevE.76.021501 – volume: 80 start-page: 012501 year: 2009 ident: CR31 article-title: Direct conversion of rheological compliance measurements into storage and loss moduli publication-title: Phys Rev E doi: 10.1103/PhysRevE.80.012501 – year: 2012 ident: CR28 publication-title: ImageP: image processing add-ons to Python and numpy – volume: 86 start-page: 011501 year: 2012 ident: CR41 article-title: Splinelike interpolation in particle tracking microrheology publication-title: Phys Rev E doi: 10.1103/PhysRevE.86.011501 – volume: 70 start-page: 021503 issue: 2 year: 2004 ident: CR33 article-title: Microrheology of solutions of semiflexible biopolymer filaments using laser tweezers interferometry publication-title: Phys Rev E doi: 10.1103/PhysRevE.70.021503 – volume: 94 start-page: 3313 issue: 8 year: 2008 ident: 516_CR19 publication-title: Biophys J doi: 10.1529/biophysj.107.123851 – volume-title: Particle tracking year: 2006 ident: 516_CR26 – volume: 86 start-page: 011501 year: 2012 ident: 516_CR41 publication-title: Phys Rev E doi: 10.1103/PhysRevE.86.011501 – volume: 42 start-page: 413 year: 2010 ident: 516_CR8 publication-title: Annu Rev Fluid Mech doi: 10.1146/annurev-fluid-121108-145608 – volume: 79 start-page: 3282 year: 1997 ident: 516_CR6 publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.79.3282 – volume: 179 start-page: 298 year: 1996 ident: 516_CR16 publication-title: J Colloid Interface Sci doi: 10.1006/jcis.1996.0217 – volume: 31 start-page: 7044 issue: 20 year: 1998 ident: 516_CR34 publication-title: Macromolecules doi: 10.1021/ma980304u – volume: 76 start-page: 573 year: 1999 ident: 516_CR2 publication-title: Biophys J doi: 10.1016/S0006-3495(99)77225-5 – volume-title: Rheology for Chemists. 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Vincentz Network GmbH & Co. KG , Plathnerstr. 4c year: 2011 ident: 516_CR10 – volume-title: SciPy: Open source scientific tools for Python year: 2001 ident: 516_CR14 – volume: 65 start-page: 051505 issue: 5 year: 2002 ident: 516_CR38 publication-title: Phys Rev E doi: 10.1103/PhysRevE.65.051505 – volume: 293 start-page: C1568 year: 2007 ident: 516_CR1 publication-title: Am J Physiol Cell Physiol doi: 10.1152/ajpcell.00193.2007 – volume: 85 start-page: 888 issue: 4 year: 2000 ident: 516_CR37 publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.85.888 – volume: 2 start-page: 60 year: 2005 ident: 516_CR20 publication-title: Phys Biol doi: 10.1088/1478-3967/2/1/008 – volume: 82 start-page: 3314 issue: 6 year: 2002 ident: 516_CR18 publication-title: Biophys J doi: 10.1016/S0006-3495(02)75672-5 |
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Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties of... Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties of the... Doc number: 144 Abstract Background: Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the... BackgroundParticle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties of... Background: Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties... Abstract Background Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical... |
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| SubjectTerms | Adaptive sampling Algorithms Batch processing Chemistry Chemistry and Materials Science Chemistry/Food Science Compliance Conversion Data processing Dynamic interpolation Fourier transforms Mathematical analysis Mathematical models Mechanical properties Methods Numerical conversion method Packages Particle tracking Particle tracking microrheology Particle trajectories Permissible error Physical Chemistry Rheology Scripts Shear modulus Software Software library Studies |
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