Microtechnology for Cell Manipulation and Sorting

1. Front Matter

   Pages i-ix

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2. Microfluidic Cell Sorting and Separation Technology

   • Wonhee Lee, Peter Tseng, Dino Di Carlo

   Pages 1-14

3. Magnetic Cell Manipulation and Sorting

   • Maciej Zborowski, Jeffrey J. Chalmers, William G. Lowrie

   Pages 15-55

4. Electrical Manipulation and Sorting of Cells

   • Jaka Cemazar, Arindam Ghosh, Rafael V. Davalos

   Pages 57-92

5. Optical Manipulation of Cells

   • Julian Cheng, M. Arifur Rahman, Aaron T. Ohta

   Pages 93-128

6. Acoustic Cell Manipulation

   • Andreas Lenshof, Carl Johannesson, Mikael Evander, Johan Nilsson, Thomas Laurell

   Pages 129-173

7. Gravity-Driven Fluid Pumping and Cell Manipulation

   • Sung-Jin Kim, Xiaoyue Zhu, Shuichi Takayama

   Pages 175-192

8. Inertial Microfluidic Cell Separation

   • Joseph M. Martel-Foley

   Pages 193-223

9. Microfluidic Technologies for Deformability-Based Cell Sorting

   • Quan Guo, Simon P. Duffy, Hongshen Ma

   Pages 225-254

10. Microfluidic Aqueous Two-Phase Systems

    • Glenn M. Walker

    Pages 255-278

11. Back Matter

    Pages 279-281

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This book delves into the recent developments in the microscale and microfluidic technologies that allow manipulation at the single and cell aggregate level. Expert authors review the dominant mechanisms that manipulate and sort biological structures, making this a state-of-the-art overview of conventional cell sorting techniques, the principles of microfluidics, and of microfluidic devices. All chapters highlight the benefits and drawbacks of each technique they discuss, which include magnetic, electrical, optical, acoustic, gravity/sedimentation, inertial, deformability, and aqueous two-phase systems as the dominant mechanisms utilized by microfluidic devices to handle biological samples. Each chapter explains the physics of the mechanism at work, and reviews common geometries and devices to help readers decide the type of style of device required for various applications. This book is appropriate for graduate-level biomedical engineering and analytical chemistry students, as well asengineers and scientists working in the biotechnology industry.

• data mining
• data structures
• dynamic programming
• query processing
• string search
• algorithms
• approximation algorithm
• bioinformatics
• data compression
• databases
• experimental evaluation
• graphs
• information retrieval
• lempel-ziv
• natural language processing
• pattern matching
• search engines
• sequences and graphs
• string processing
• biochemical engineering

• KAIST, Yuseong-gu, Korea (Republic of)

  Wonhee Lee

• Tufts University, Medford, USA

  Peter Tseng

• University of California, Los Angeles, Los Angeles, USA

  Dino Di Carlo

Wonhee Lee, PhD, is Assistant Professor in the Graduate School of Nanoscience and Technology at KAIST, a public research university located in South Korea. Wonhee’s research focuses on the development and application of microfluidic cell calorimeters for cell biology, and on microfluidic inertial self-assembly.

Peter Tseng, PhD, is currently a postdoc at the University of California, Los Angeles. He has a PhD in biomedical engineering, and his research focuses on cell manipulation, magnets, and MEMS.

Dino Di Carlo, PhD, is an Associate Professor in the department of Bioengineering and Biomedical Engineering interdepartmental graduate program at the University of California, Los Angeles. Among other honors he was awarded the National Science Foundation (NSF) Faculty Early Career Development award and the U.S. Office of Naval Research (ONR) Young Investigator Award in 2012, the Packard Fellowship for Science and Engineering and Defense Advanced Research Projects Agency (DARPA) Young Faculty Award in 2011, and received the National Institutes of Health (NIH) Director’s New Innovator Award and Coulter Translational Research Award in 2010.

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