Maximizing Data Quality in Life Science Data Acquisition and Analysis

Web video URL

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
  • Tissue and Circulation
  • Telemetry
  • Behavior, Sleep and Neuroscience
  • Cardiovascular Function
  • Cardiac Electrophysiology
  • in vitro Pharmacology
  • Isolated Tissue and Organ Electrophysiology

Human Physiology

  • Autonomic
  • Cardiovascular
  • Exercise Physiology
  • Neuro
  • Psychophysiology
  • Respiratory
  • Sleep Studies
  • Tissue and Circulation