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Investigations of cellular and molecular biophysical properties by atomic force microscopy nanorobotics

Author: Mi Li
Publisher: Singapore : Springer, ©2018.
Series: Springer theses.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mi Li
ISBN: 9789811068294 9811068291
OCLC Number: 1005856673
Notes: "Doctoral thesis accepted by University of Chinese Academy of Sciences, Beijing, China."
Description: 1 online resource
Contents: Introduction.- Immobilization methods for observing living cells.- Label-free measuring the mechanics of single cells.- Single-molecule recognition and force measurements.- Mapping membrane proteins on cell surface.- Applications of single-cell and single-molecule physiological properties characterization methods in clinical lymphoma treatment.- Conclusion.
Series Title: Springer theses.
Responsibility: Mi Li.

Abstract:

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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