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

1. Auflage 2018
ISBN: 978-981-10-6829-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 146 Seiten, eBook

Reihe: Springer Theses

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.

Zielgruppe

Research

Autoren/Hrsg.

Li, Mi

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Mi Li received his B.E. and M.E. degree from Huazhong University of Science and Technology, Wuhan, China in 2006 and 2008, respectively, and Ph. D. degree from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China in 2015. Currently Dr. Li is Associate Professor at the Shenyang Institute of Automation and his research areas include micro/nano automation technology, atomic force microscopy, nanorobot and cell mechanics. He has published more than 30 articles in academic journals as first author, and received Outstanding Doctoral Dissertation Award of Chinese Academy of Sciences in 2016.