首页 | 本学科首页   官方微博 | 高级检索  
     


Non-destructive on-chip imaging flow cell-sorting system for on-chip cellomics
Authors:Kenji Yasuda  Akihiro Hattori  Hyonchol Kim  Hideyuki Terazono  Masahito Hayashi  Hiroyuki Takei  Tomoyuki Kaneko  Fumimasa Nomura
Affiliation:1. Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10 Kanda-Surugadai, Chiyoda, Tokyo, 101-0062, Japan
2. Kanagawa Academy of Science and Technology, 3-2-1 Sakado, Takatsu, Kawasaki, 213-0012, Japan
3. Faculty of Life Sciences, Toyo University, 1-1-1 Izumino, Itakura-cho, Oura-gun, Gunma, 374-0193, Japan
Abstract:We have developed a non-destructive imaging flow cell-sorting system using an ultra-high-speed camera (shutter speed of 1/10,000 s) with a real-time image analysis unit and a poly(methyl methacrylate) (PMMA)-based disposable microfluidic chip for single-cell-based on-chip cellomics. It has a 3-D micropipetting device that supports fully automated sorting and collection of samples. The entire fluidic system is implemented in a disposable plastic chip, enabling biological samples to be lined up in a laminar flow using hydrodynamic focusing. Its optical system enables direct observation-based cell identification using specific image indexes and phase-contrast/fluorescence microscopy, real-time image processing. It has a non-destructive, wider dynamic range, sorting procedure using mild electrostatic force in a laminar flow; agarose gel electrodes are used to prevent electrode loss and electrolysis bubble formation. The microreservoir used for recultivating collected target cells is contamination-free. An integrated ultra-high-speed droplet polymerase chain reaction measurement module is used for DNA/mRNA analysis of the collected target cells. This system was used to separate cardiomyocyte cells from a mixture of various cells. All the operations were automated using the 3-D micropipetting device. The results demonstrate that this imaging flow cell-sorting system is practically applicable for biological research and clinical diagnosis.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号