Maximizing Data Quality in Life Science Data Acquisition and Analysis
- 17 Oct 18
Brandon Bucher, Head of Research at ADInstruments, shares best practices, technical considerations and provides expert advice on avoiding common mistakes with digital data acquisition and analysis to produce higher quality research results.
He discusses key considerations for successful experimentation, including:
- Data acquisition and analysis system set up
- Preparing data for analysis
- Proper signal conditioning and artifact rejection
- Exporting data
Content covered in this webinar will be most relevant to scientists in the following research fields:
Animal Physiology
- Autonomic
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- Telemetry
- Behavior, Sleep and Neuroscience
- Cardiovascular Function
- Cardiac Electrophysiology
- in vitroPharmacology
- Isolated Tissue and Organ Electrophysiology
Human Physiology
- Autonomic
- Cardiovascular
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- Neuro
- Psychophysiology
- Respiratory
- Sleep Studies
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