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Investigations of Cellular and Molecular Biophysical Properties by Atomic Force Microscopy Nanorobotics

av Mi Li
Om Investigations of Cellular and Molecular Biophysical Properties by Atomic Force Microscopy Nanorobotics

This book presents methodological and application research in detecting cellular and molecular biophysical properties based on atomic force microscopy (AFM) nanorobotics. Series methods for in situ label-free visualizing and quantifying the multiple physical properties of single cells and single molecules were developed, including immobilization strategies for observing fine structures of living cells, measurements of single-cell mechanics, force recognition of molecular interactions, and mapping protein organizations on cell surface. The biomedical applications of these methods in clinical lymphoma treatments were explored in detail, including primary sample preparation, cancer cell recognition, AFM detection and data analysis. Future directions about the biomedical applications of AFM are also given.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9789811349546
  • Bindende:
  • Paperback
  • Sider:
  • 135
  • Utgitt:
  • 12. januar 2019
  • Utgave:
  • 12018
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 454 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 1. mai 2025

Beskrivelse av Investigations of Cellular and Molecular Biophysical Properties by Atomic Force Microscopy Nanorobotics

This book presents methodological and application research in detecting cellular and molecular biophysical properties based on atomic force microscopy (AFM) nanorobotics. Series methods for in situ label-free visualizing and quantifying the multiple physical properties of single cells and single molecules were developed, including immobilization strategies for observing fine structures of living cells, measurements of single-cell mechanics, force recognition of molecular interactions, and mapping protein organizations on cell surface. The biomedical applications of these methods in clinical lymphoma treatments were explored in detail, including primary sample preparation, cancer cell recognition, AFM detection and data analysis. Future directions about the biomedical applications of AFM are also given.

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