Lee reynolds jmu-reu-presentation-2010
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Lee Reynolds' presentation on Development of a data acquisition system for monitoring the biological stress response of rats in a thermal gradient

Lee Reynolds' presentation on Development of a data acquisition system for monitoring the biological stress response of rats in a thermal gradient

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Lee reynolds jmu-reu-presentation-2010 Lee reynolds jmu-reu-presentation-2010 Presentation Transcript

  • Development of a data acquisition system for monitoring the biological stress response of rats in a thermal gradient
    Lee Reynolds
    Integrated Science and Technology
    Mentor: Dr. Keith Holland
    Dr. Justin Brown PhD
  • Research On the Rats
    Autonomic Nervous System to Hypoxic Stress
    Linked to SIDS (Sudden Infant Death Syndrome)
    They hypothesize that the RaPa, and likely the 5HT1A receptor, mediate the thermoregulatory responses to hypoxic stress
    which would be confirmed by an alteration of the normal hypothermic response to hypoxic stress
    Examples of Hypoxic Stress:
    less oxygen, more nitrogen
  • Actual Rat
    Thermoregulatory responses to hypoxic stress were measured in male Sprague-Dawley rats using radiotelemetry
    Rats were instrumented with microinjection cannulas targeting the RaPa which allowed pharmacologic alterations in neurotransmission
    Changes in core temperature (Tc) and selected ambient temperature (STa) during hypoxic stress were observed in rats
  • 18 Temperature Thermocouples 18 Photoreceptors Cold Water Bath & Oxygen and Nitrogen Tank
  • Temperature Gradient
  • The Testing
    Time Scale:
    30 minutes – 1 hour for acclimation
    30 minute baseline test
    15 minutes – 36+ hour stress response tests
    Selected Ambient Temperature:
    The temperature at the exact position of the rat during any given time
  • The OLD System
    Problems Included:
    -Limited Lifetime
    -Keyboard Failure
    -Not User Friendly
    -Sometimes would not boot up
    - Raw Data would have to be processed
    -Time consuming data manipulation
    Raw data must be processed
    No raw data manipulation
    If a position sensor was not blocked or if multiple were blocked, the data processing program would not work
    Required time consuming manual removal of these data samples
  • Thermocouples
    Problems With Old Thermocouples:
    - Poor Connection
    - Unorganized and messy
    - Sometimes would take a whole day to replace just one
  • New Gradient System
    More Efficient
    New “modular” data acquisition system – room for expansion and modification in the future
    Space saver
    Looks cooler
  • “Under the Hood”
  • LabVIEW
    No longer need to process the raw data – once the test is finished, the relevant data is already summarized at appropriate time intervals
    Automatically recognize if multiple photoreceptors are tripped and adjust readings accordingly (data analysis does not fail)
    Automatically recognize and alert user to thermocouple and/or photoreceptor failures/errors
  • New System
    Without need for post processing, data manipulation time is eliminated, allowing for tests to be run in closer succession.
    More “user friendly” identification of potential data errors.
    Addition of standard deviation and summary statistics for important parameters to improve result accuracy
    Can be run continuously, even when data is not being stored, to monitor conditions – no need to run and analyze additional baseline tests.
  • “Things are working unbelievably well so far.  We have been collecting data and the lab students will start to analyze it shortly. I have looked at it and it seems to be organized perfectly.  This system will be a much quicker, and more reliable, way to get our data.  Plus, we can easily replace it if the computer system fails using the back up files we made” – Dr. Brown
  • Thank You
    Dr. Keith Holland
    Dr. Robert Prins
    Dr. Justin Brown
    Dr. Chris Hughes
    JMU REU Program
    DOD-ASSURE/NSF-REU grant # DMR-0851367