CONTENTS
7.1 Introduction ................................................................................................ 126
7.2 Materials and Methods ............................................................................. 128
7.2.1 Cell Types and Preparation .......................................................... 129
7.2.2 Penicillin-Streptomycin and Bottom Surface Treatment ......... 130
7.2.3 Cell Suction System ....................................................................... 130
7.2.4 Manufacture of the Microfluidic Chip........................................ 131
7.2.5 Valve Control Principle ................................................................. 132
7.2.6 Vision Systems ................................................................................ 133
7.2.7 Cell Detection/Tracking and Control ......................................... 134
7.3 Experimental Results ................................................................................ 138
7.3.1 Oocyte and Fibroblast Suction ..................................................... 138
7.3.2 Direction Control ........................................................................... 139
7.4 Discussion and Conclusion ...................................................................... 143
References ............................................................................................................. 143
7
Automatic Single-Cell Transfer Module
Huseyin Uvet
Yildiz Technical University
Istanbul, Turkey
Akiyuki Hasegawa
Tokyo Women’s Medical University
Tokyo, Japan
Kenichi Ohara, Tomohito Takubo, Yasushi Mae, and Tatsuo Arai
Osaka University
Osaka, Japan
Abstract
Conventional hybrid microfluidic systems have many functions such
as separation, sorting, and filtering of biological particles. These hybrid
systems are required for delivering particles into microfluidic chips and
for their dexterous on-chip manipulation. Successful realization of these
functionalities requires visual sensing of particles. However, only a limited number of studies are available on on-chip visual sensing techniques
125
7.1 Introduction ................................................................................................ 126
7.2 Materials and Methods ............................................................................. 128
7.2.1 Cell Types and Preparation .......................................................... 129
7.2.2 Penicillin-Streptomycin and Bottom Surface Treatment ......... 130
7.2.3 Cell Suction System ....................................................................... 130
7.2.4 Manufacture of the Microfluidic Chip........................................ 131
7.2.5 Valve Control Principle ................................................................. 132
7.2.6 Vision Systems ................................................................................ 133
7.2.7 Cell Detection/Tracking and Control ......................................... 134
7.3 Experimental Results ................................................................................ 138
7.3.1 Oocyte and Fibroblast Suction ..................................................... 138
7.3.2 Direction Control ........................................................................... 139
7.4 Discussion and Conclusion ...................................................................... 143
References ............................................................................................................. 143
7
Automatic Single-Cell Transfer Module
Huseyin Uvet
Yildiz Technical University
Istanbul, Turkey
Akiyuki Hasegawa
Tokyo Women’s Medical University
Tokyo, Japan
Kenichi Ohara, Tomohito Takubo, Yasushi Mae, and Tatsuo Arai
Osaka University
Osaka, Japan
Abstract
Conventional hybrid microfluidic systems have many functions such
as separation, sorting, and filtering of biological particles. These hybrid
systems are required for delivering particles into microfluidic chips and
for their dexterous on-chip manipulation. Successful realization of these
functionalities requires visual sensing of particles. However, only a limited number of studies are available on on-chip visual sensing techniques
125