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Small Volume Microrheology to Evaluate Viscoelastic Properties of Nucleic Acid-Based Supra-Assemblies.
Gupta, Akhilesh Kumar; Petersen, Joel; Skelly, Elizabeth; Afonin, Kirill A; Krasnoslobodtsev, Alexey V.
Afiliação
  • Gupta AK; Department of Physics, University of Nebraska Omaha, Omaha, NE, USA.
  • Petersen J; Department of Physics, University of Nebraska Omaha, Omaha, NE, USA.
  • Skelly E; Nanoscale Science Program, Department of Chemistry, University of North Carolina at Charlotte, Charlotte, NC, USA.
  • Afonin KA; Nanoscale Science Program, Department of Chemistry, University of North Carolina at Charlotte, Charlotte, NC, USA.
  • Krasnoslobodtsev AV; Department of Physics, University of Nebraska Omaha, Omaha, NE, USA. akrasnos@unomaha.edu.
Methods Mol Biol ; 2709: 179-189, 2023.
Article em En | MEDLINE | ID: mdl-37572280
ABSTRACT
Particle tracking (PT) microrheology is a passive microrheological approach that characterizes material properties of soft matter. Multicomponent materials with the ability to create extensive crosslinking, such as supra-assemblies, may exhibit a complex interplay of viscous and elastic properties with a substantial contribution of liquid phase still diffusing through the system. Microrheology analyzes the motion of microscopic beads immersed in a sample, making it possible to evaluate the rheological properties of biological supra-assemblies. This method requires only a small volume of the sample and a relatively simple, inexpensive experimental setup. The objective of this chapter is to describe the experimental procedures for the observation of particle motion, calibration of an optical setup for particle tracking, preparation of imaging chambers, and the use of image analysis software for particle tracking in viscoelastic nucleic acid-based supra-assemblies.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software Idioma: En Ano de publicação: 2023 Tipo de documento: Article