Jennie is Global Technical Product Manager for QSense at Biolin Scientific. She has a Master of Science in Bioengineering from Chalmers University of Technology and spent the first years after graduation focusing on membrane proteins and how to identify and characterize these in the best way. At Biolin Scientific, she has also worked as an Application Specialist for QSense, In-House Sales Manager, and Academy Manager.
If you are looking for a high-end instrument but cannot determine whether it is the Pro or Omni that will best suit your needs, here is the guide for you
Learn more about QSense 4th generation QCM-D platform which provides a sharper tool in the scientist toolbox and simplifies data interpretation.
QSense Omni is designed to offer cutting-edge QCM-D performance in modular setup-configurations based on user needs
QSense Omni is designed to minimize the user knowledge required to produce high-quality QCM-D data.
QCM-sensor regeneration can be a resource efficient way of running experiments. Learn about aspects to consider if you plan to resuse ypur sensors.
Learn about three simple ways that can help you get the most out of your QCM-D data collection.
A prerequisite for successful data analysis is good input data. Learn about the key characteristics of a quality baseline and how to get there.
The versatility of polyelectrolyte multilayers, PEMs, is high, which makes them interesting for e.g. biomedical applications. The functionality is largely determined by the layer properties, which needs to be understood to be tailored. Here, we show how PEMs can be characterized with QCM-D.
How does QCM-D work? Perhaps you know that a QCM-D sensor is made out of quartz, which is a piezoelectric material. Read about what that means.