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Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
JoVE Journal
Bioengineering
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JoVE Journal Bioengineering
Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

DOI:
10.3791/63931-v

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06:37 min

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June 15, 2022

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, , , , , ,
1Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science,Utrecht University, 2Department of Physics and Biophysics,University of San Diego, 3Department of Bionanoscience, Kavli Institute of Nanoscience Delft,Delft University of Technology

Chapters

  • 00:04Introduction
  • 00:45Image Acquisition and Parameter Setup
  • 01:55Calculating the DDM Matrix
  • 02:54Fitting the DDM Matrix or the ISF
  • 03:38Interpreting the Fit Results
  • 04:26Results: DDM Analysis for Vimentin and Actin-Microtubule Composite Network
  • 06:09Conclusion

Summary

Automatic Translation

Automatic Translation

Differential dynamic microscopy (DDM) combines features of dynamic light scattering and microscopy. Here, the process of using DDM to characterize reconstituted cytoskeleton networks by quantifying the subdiffusive and caged dynamics of particles in vimentin networks and the ballistic motion of active myosin-driven actin-microtubule composites is presented.

Tags

Keywords: Cytoskeleton DynamicsDifferential Dynamic MicroscopyReconstituted Cytoskeleton NetworksSoft MaterialsBiologically Relevant MaterialsMicroscope Control SoftwarePyDDM Code RepositoryDDM MatrixIntermediate Scattering FunctionData AnalysisXarray PackageBackground Estimation

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