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Cellular micro-impedance measurements are prone to instrumental artifacts. Digital filtering and circuit modifications reduce these errors, improving cellular barrier model accuracy and data fit.

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Electrical Engineering

Background:

  • Frequency-dependent cellular micro-impedance is crucial for evaluating cellular barrier function.
  • Phase-sensitive detection with gold two-electrode configurations is commonly used for these measurements.

Purpose of the Study:

  • To identify and quantify instrumental artifacts affecting cellular micro-impedance measurements.
  • To assess the impact of these artifacts on cellular barrier model parameter estimation.
  • To evaluate methods for reducing these artifacts and improving measurement accuracy.

Main Methods:

  • Power spectral analysis of microelectrode voltages to identify noise sources.
  • Digital filtering techniques to reduce time-dependent instrumental artifacts.
  • Implementation of an active current source and analysis of circuit models to address systematic errors.

Main Results:

  • Synchronous, 60 Hz, and white Gaussian noise were identified as significant time-dependent artifacts.
  • Digital filtering reduced model parameter fluctuations.
  • Electrode impedance and circuit capacitances caused systematic deviations; active current source partially mitigated voltage divider effects.
  • Capacitive elements in coaxial cables and circuits introduced artifacts above 1 kHz.

Conclusions:

  • Instrumental artifacts significantly impact cellular barrier function parameter estimates.
  • Reducing both time-dependent and systematic errors enhances model accuracy and fit.
  • Careful consideration of biosensor instrumentation is vital for reliable cellular impedance measurements.