DocumentCode
3063785
Title
Parallel multipoint recording of aligned and cultured neurons on corresponding Micro Channel Array toward on-chip cell analysis
Author
Tonomura, W. ; Moriguchi, H. ; Jimbo, Y. ; Konishi, S.
Author_Institution
Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
943
Lastpage
946
Abstract
This paper describes an advanced Micro Channel Array (MCA) so as to record neuronal network at multiple points simultaneously. Developed MCA is designed for neuronal network analysis which has been studied by co-authors using MEA (Micro Electrode Arrays) system. The MCA employs the principle of the extracellular recording. Presented MCA has the following advantages. First of all, the electrodes integrated around individual micro channels are electrically isolated for parallel multipoint recording. Sucking and clamping of cells through micro channels is expected to improve the cellular selectivity and S/N ratio. In this study, hippocampal neurons were cultured on the developed MCA. As a result, the spontaneous and evoked spike potential could be recorded by sucking and clamping the cells at multiple points. Herein, we describe the successful experimental results together with the design and fabrication of the advanced MCA toward on-chip analysis of neuronal network.
Keywords
Biological neural networks; Cells (biology); Clamps; Electrodes; Extracellular; Fabrication; Insulation; Micromechanical devices; Neurons; Silicon; Action Potentials; Animals; Cell Culture Techniques; Cell Separation; Cells, Cultured; Equipment Design; Equipment Failure Analysis; Micro-Electrical-Mechanical Systems; Microelectrodes; Microfluidic Analytical Techniques; Nerve Net; Neurons; Rats; Rats, Wistar; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649310
Filename
4649310
Link To Document