Essentials of Data Quality: Maximizing Data Quality in Life Science Data Acquisition and Analysis
Summary
Brandon Bucher, Head of Research at ADInstruments provides expert advice on avoiding common data acquisition and analysis mistakes in order to produce higher quality results. Amplification, also known as range or resolution, is the action of taking out small signals as they exists in the transducer and making them larger, so that its easier for the DAQ system to record them. Alternatively, if the sampling rate is too high, you run the risk of capturing excessive noise and artifacts in your signal. In this section we will cover how to be prepared for data qualification, artifact rejection, repetition and automated analysis. Make sure you check out Brandons demonstration in the video above (Chapter 11) for some simple, but effective ways to remove artifacts from your data.
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