Dynamic Light Scattering (DLS) is a technique that allows researchers to accurately size their biologic molecules and determine the distribution of particle sizes in a solution. In order to turn scattering information from a system into usable data for decision making, DLS software uses an autocorrelation function (ACF).

The ACF can often seem like a black box for researchers, but understanding how it works and what a good fit looks like is crucial for data analysis. Both experts and novices can benefit from a review of how the ACF is generated and how to assess data quality. In this seminar, you will learn:

What is DLS (a brief overview)
What DLS information goes into an ACF
How an ACF is generated
What the different fit models mean for your samples
What impact contaminants and poor sample prep can have on your ACF data