NDLI: Preliminary study of neurite outgrowth within polyimide microtubes

Content Provider	IEEE Xplore Digital Library
Author	Satish, L. Gandhi, D. Rousche, P.J.
Copyright Year	2004
Description	Author affiliation: Dept. of Bioeng., Illinois Univ., Chicago, IL, USA (Satish, L.; Gandhi, D.; Rousche, P.J.)
Abstract	The cone electrode first developed by P.R.Kennedy paved headway in the area of cortical prostheses. While effective, to date, no optimization of the materials, length, diameter or controlling neurotrophic effects have been extensively quantified for such systems. This paper describes an in-vitro model system for the study of neurite outgrowth using PC-12 cells and an array of polyimide microtubes. Our aim is to obtain preliminary design specifications for the eventual optimization of in-vivo neurotrophic electrodes. We performed preliminary characterization of the number and average lengths of PC-12 neurites that penetrated into the tubes mounted within a standard Petri dish. To describe system performance, we observed an increase in the average number of neurites that grew into the tubes over a period of days. We also observed an increase in the average length of the neurites (with a 95% confidence) between day 3 and day 4 of between 14.97 /spl mu/m and 62.27 /spl mu/m. In addition, we measured a length change (with a 95% confidence) between day 4 and day 6 of 93.51 /spl mu/m and 145.45 /spl mu/m. These results will soon be augmented by quantification of neurites using a photo lithographically patterned glass microgroove system.
Starting Page	4306
Ending Page	4309
File Size	457563
Page Count	4
File Format	PDF
ISBN	0780384393
DOI	10.1109/IEMBS.2004.1404199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polyimides Electrodes Biological materials Design optimization Glass Signal to noise ratio Biomedical engineering Prosthetics Control systems System performance neurotrophic Polyimide microtubes
Content Type	Text
Resource Type	Article

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