Hostname: page-component-745bb68f8f-kw2vx Total loading time: 0 Render date: 2025-01-14T02:23:10.749Z Has data issue: false hasContentIssue false
  • English
  • Français

Transimpedance Mode CMOS Microelectrode Array For In-Vitro Neuronal Activity Recording

Published online by Cambridge University Press:  15 February 2011

Jacob S. Wegman ,
Amar Dwarka ,
Matthew Holzer ,
Whye-Kei Lye ,
Michael L. Reed ,
Erik Herzog  and
Travis N. Blalock
Jacob S. Wegman
Affiliation:
Department of Electrical and Computer Engineering, University of Virginia Charlottesville, VA 22904
Amar Dwarka
Affiliation:
Department of Electrical and Computer Engineering, University of Virginia Charlottesville, VA 22904
Matthew Holzer
Affiliation:
Department of Electrical and Computer Engineering, University of Virginia Charlottesville, VA 22904
Whye-Kei Lye
Affiliation:
Department of Electrical and Computer Engineering, University of Virginia Charlottesville, VA 22904
Michael L. Reed
Affiliation:
Department of Electrical and Computer Engineering, University of Virginia Charlottesville, VA 22904
Erik Herzog
Affiliation:
Department of Biology, Washington University in St. Louis St. Louis, MO 63130
Travis N. Blalock
Affiliation:
Department of Biology, Washington University in St. Louis St. Louis, MO 63130
Get access

Abstract

A CMOS integrated microelectrode array (IMA) utilizing a low-inpedance transimpedance input has been developed. The design uses a three-stage amplifier, including a transimpedance input stage, buffer, and multiplexor. The input stage presents a low impedance which provides bias for the neural input and maximizes the current transfer into the circuit. The amplifiers are replicated in an 8x8 array, enabling measurement of a network of 64 neurons invitro. The chip was post-processed to provide a bio-compatible gold interface between the electrodes and the neurons. Simulations and experimental results demonstrate the functionality of the new design. Additional measurements are underway to provide experimental confirmation of the system with in-vitro neurons.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 773: Symposium N – Biomicroelectromechanical Systems (BioMEMS) , 2003 , N6.2
Copyright
Copyright © Materials Research Society 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Wise, Kensall D., Angell, James B., and Starr, Arnold. “An Integrated-Circuit Approach to Extracellular Microelectrodes.” IEEE Transactions on Biomedical Engineering 17-3 (July 1970). pp.238–46.Google Scholar
2. Kolla, A., Stan, Mircea R., Herzog, Erik D., Moenter, Suzanne M.. “Integrated Planar Multimicroelectrode Array for In Vitro Recording.” IEEE Conference Record of the Thirty-First Asilomar Conference on Signals, Systems, and Computers, 1997.Google Scholar
3. Herzog, Erik D., Geusz, Michael E., Khalsa, Sat Bir S., Straume, Martin, Block, Gene D.. “Circadian rhythms in mouse suprachiasmatic nucleus explants on multimicroelectrode plates.” Brain Research 757-2 (1997). pp.285–90.Google Scholar
4. Dwarka, A. “New Design of an Integrated Microelectrode Array for In Vitro Neural Recording.” Master's Thesis. University of Virginia, 2002.Google Scholar
5. Razavi, Behzad. Design of Analog CMOS Integrated Systems. Boston, MA: McGraw-Hill, 2001.Google Scholar