The Sauerbrey equation is straightforward to use, but it should only be applied when it is valid. Learn about when it can be used with confidence.
Learn about some common data analysis methods used in science, such as qualitative-, quantitative-, exploratory-, descriptive-, and predictive analyses.
Learn about design of experiments, an efficient approach to experimental planning, execution and analysis.
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.
Read this interview with a writing coach to get some tips and tricks on how to get published in high-impact scientific journals.
Learn how to structure your work to get in control of ypur calendar
Read the interview with Dr Deborah Rupert to learn about how work-related stress can be reduced and how burnout can be avoided.
Here we will list 9 things that could affect the stability of your QCM-D baseline, and give advice on how to address them if you are experiencing drift.