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High-density data acquisition system and signal preprocessor for interfacing with microelectromechanical system-based

M Rokkam1, M R Chatni, A ul Haque

  • 1Bindley Bioscience Center, Physiological Sensing Facility, Purdue University, West Lafayette, IN 47907, USA.

The Review of Scientific Instruments
|May 5, 2007
PubMed
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Researchers developed a cost-effective, high-throughput data acquisition system (Bio-HD DAQ) and signal preprocessor for Microelectromechanical system (MEMS) devices. This innovation addresses the critical interface challenge for BioMEMS applications, enabling better testing and data analysis.

Area of Science:

  • Microelectromechanical Systems (MEMS)
  • BioMEMS
  • Data Acquisition Systems

Background:

  • MEMS technology offers miniaturization, ease of manufacturing, low power consumption, and reduced waste.
  • BioMEMS applications are crucial for biosensing, clinical diagnostics, and lab-on-a-chip technologies.
  • A significant challenge in MEMS development is the interface between microdevices and the macro world, limiting testing and data analysis.

Purpose of the Study:

  • To develop a cost-effective, high-throughput data acquisition system (Bio-HD DAQ) and signal preprocessor for MEMS devices.
  • To address the critical need for improved data acquisition and signal processing in BioMEMS research.
  • To create a system adaptable for various MEMS development, testing, and application scenarios.

Main Methods:

Related Experiment Videos

  • Development of a signal preprocessor featuring a 64-channel filter/amplifier circuit array on a printed circuit board.
  • Implementation of a high-density crosspoint switching matrix for connecting the preprocessor to a 16-channel, 18-bit, 625 kS/s data acquisition card.
  • Utilized custom multimodule software developed in LABVIEW 7.0 for controlling the data acquisition system.

Main Results:

  • Successfully developed and integrated a cost-effective, high-throughput data acquisition system (Bio-HD DAQ) and signal preprocessor.
  • The system is designed for a MEMS-based cell electrophysiology lab-on-a-Chip (CEL-C) device.
  • The developed system provides a robust solution for data acquisition and signal processing in BioMEMS.

Conclusions:

  • The Bio-HD DAQ system and accompanying software effectively address the interface challenge for MEMS devices.
  • The system is highly adaptable and can be modified for generic data acquisition in MEMS development and testing.
  • This advancement is crucial for fully appreciating and testing new BioMEMS technologies and applications.