30. Collecting quality data with QCM-D – what to consider and pitfalls to avoid

Collecting quality data with QCM-D – what to consider and pitfalls to avoidHow do you maximize your chances of a measurement being successful? And which are the main pitfalls to avoid when planning and executing experiments?In this episode, we talk to Jennie Ringberg, Global Technical Product Manager for QSense at Biolin Scientific, to learn more about the practical aspects of data collection and experimental design with the ambition to maximize the data quality. The conversation focuses on t...