In QCM-D, the difference between a breakthrough finding and a misleading artefact often comes down to one thing: data quality. Noise, drift, and instrument-induced artefacts can quietly distort frequency and dissipation signals, leading to conclusions that do not hold up — yet data quality is rarely discussed with the rigor it deserves.
In this educational session, QSense experts unpack what data quality really means in QCM-D: what causes it, how to recognize it, and why it matters for reproducibility and confidence in your results. Drawing on Biolin Scientific's history as the originator of QCM-D technology, we will show what a genuinely premium, quality-first approach to instrument design looks like in practice. We will also give you a first look at QSense Core One, our newest single-channel platform, built on the principle that data quality is not a feature — it is the foundation. See how its robust and sensitive design, active stability monitoring, reliable harmonic tracking and user guided workflow work together to make experimental work easier and help you trust every measurement you make.
Who should attend:
This presentation is aimed at QCM-D users at all levels, from those new to the technique to experienced researchers seeking to deepen their understanding of data quality. Whether you are new to QCM-D or a long-time user, you will leave with a sharper eye for data quality - and a look at the instrument built to deliver it.
