Biosensors for Single-Cell Analysis

Biosensors for Single-Cell Analysis explores a wide range of biosensor technologies and their applications in single-cell characterization and analysis. Sections cover key biophysical and chemical single-cell properties that consider proteomic, metabolic, electrical, mechanical and optical properties. Each chapter features key definitions and case studies, providing detailed guidance for researchers who want to replicate covered solutions in their work. Tutorial sections, evaluations of the current state-of-the-field and future developments are also included. Microfluidic approaches to characterization, such as microfluidic impedance flow cytometry and microfluidic flow cytometry are considered alongside more conventional approaches, such as mass spectroscopy, fluorescent and mass flow cytometry.

Additionally, key types of biosensors are covered, including atomic force microscopy, micropipette aspiration, optical tweezers, microfluidic hydrodynamic stretchers, microfluidic constriction channel and microfluidic optical stretchers.

Autorentext
Professor Jian Chen received his PhD from the Department of Biomedical Engineering, University of Toronto. Following this he joined the State Key Laboratory of Transducer Technology, Chinese Academy of Sciences where he has been focusing on exploring biosensors for single-cell analysis, enabling high-throughput characterizations of single-cell electrical, mechanical and proteomic properties. He contributed to the publication of approximately 90 journal papers and filed the applications of 40 patents. Among other honours, Professor Chen was the recipient of National Natural Science Foundation of China for Excellent Young Scholars, Excellent Member of Youth Innovation Promotion Association of Chinese Academy of Sciences, and Beijing NOVA Star. Among other services, Professor Chen has served as committee members of micro/nano device and system division of MEMS & NEMS society of China and life science instrument division of the Chinese society of biotechnology. Dr. Yao Lu is the group leader of single cell analysis lab at Dalian Institute of Chemical Physics, Chinese Academy of Sciences (DICP, CAS). He received his PhD in analytical chemistry from the same institute in 2010. After conducting postdoctoral training at Yale University from 2010 to 2015, he joined the faculty of DICP in September of 2015. His current research is focused on developing microfluidic based single cell analysis technologies for personalized diagnostics and medicine.

Klappentext
Biosensors for Single-Cell Analysis explores a wide range of biosensor technologies and their applications in single-cell characterization and analysis. Sections cover key biophysical and chemical single-cell properties that consider proteomic, metabolic, electrical, mechanical and optical properties. Each chapter features key definitions and case studies, providing detailed guidance for researchers who want to replicate covered solutions in their work. Tutorial sections, evaluations of the current state-of-the-field and future developments are also included. Microfluidic approaches to characterization, such as microfluidic impedance flow cytometry and microfluidic flow cytometry are considered alongside more conventional approaches, such as mass spectroscopy, fluorescent and mass flow cytometry. Additionally, key types of biosensors are covered, including atomic force microscopy, micropipette aspiration, optical tweezers, microfluidic hydrodynamic stretchers, microfluidic constriction channel and microfluidic optical stretchers.

Inhalt

1. Introduction to Biosensors for Single-Cell Analysis
   
   2. Biosensors for Single-Cell Proteomic Characterization: Fluorescent and Mass Flow Cytometry
   3. Biosensors for Single-Cell Proteomic Characterization: Microfluidics
   4. Biosensors for Single-Cell Metabolic Characterization: Mass Spectroscopy
   5. Biosensors for Single-Cell Electrical Characterization
   6. Biosensors for Single-Cell Mechanical Characterization
   7. Biosensors for Single-Cell Optical Characterization
   8. Conclusion and Future Directions