University of Minnesota
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College of Science and Engineering > Department of Biomedical Engineering


David Molinari

Develop neurophysiology equipment to enhance the acquisition of neuronal action potentials and spike data, and ultimately using this data to better understand the onset of seizures based on biomarkers.

Pratik Parikh

Currently pursuing a degree in Electrical Engineering.

Analog Hardware Development

I build analog circuits as per the application of need. Circuits I have built so far are:

  • A local field potential recording amplifier with lower pass filtering.
  • A Waveform controlled current stimulator that ranges from 1 uA to 10 mA. This current stimulator is intended for in vivo neural stimulation of any arbitrary waveform for studying seizure activity.
  • A user controlled UV LED switch for activating calcium cages that release Ca2+ after absorbing UV light for neural tissue experiments.
  • A bi-directional motion detector for binary detection of mouse movement on a wheel spinner. This is meant to be placed under a wheel or a fixed axis ball cage for behavioral experiments.
  • An electrode impedance measure circuit.
  • A potentiostat and high precision current sensor circuit for FSCV experiments.
  • Electrode engineering and fabrication
  • Design and develop tungsten electrodes for in vivo LFP measurements in mice.
  • Build skull screw silver electrodes for EEG recording.
  • Engineer a novel design for carbon fiber microelectrodes for FSCV experiments with glass bodies, tungsten connectors, and Nafion coated carbon fiber tips.
  • Fabricate reference electrodes for all the above applications.
  • Fast Scan Cyclic Voltammetry (FSCV)

    This is an independent project that I am working on in the lab. In this method, triangular pulses of voltage (about 100Hz) are supplied to a microelectrode system dipped in a solution and the current passing through the electrodes is recorded. This voltage vs current data produces a plot which can be thought of as a 'finger print' of a species due to its oxidation and reduction energies. This setup has been successfully implemented in identifying and calibrating for chloride ions, dopamine as well as adenosine in a beaker containing known concentrations of the species. The motivation is to use it for real time detection of adenosine concentration in in vivo experiments on mice since the theory is that adenosine could be a biomarker for seizures and can aid in seizure detection and DBS.

    Research Highlights

    Related Links

    Department of Biomedical Engineering

    Center for Neuroengineering

    Institute for Translational Neuroscience

    College of Science and Engineering