Adaptive Correlation published in Scientific Reports

Are the inner workings and algorithms in your instrument a mystery to you? Does data processing make you wary? Our scientists and engineers are always looking at ways to improve the quality of your data and insight you can gleam from it.  Through technical notes and webinars, we hope to demystify how these innovations bring value to your characterization problems. 

One recent innovation is a new method of gathering Dynamic Light Scattering (DLS) data, called Adaptive Correlation. This approach has been shown to be a statistically robust method to handle spurious data during a DLS measurement. Spurious data may be from dust or contamination, as DLS measurements are highly sensitive to sample cleanliness. Adaptive Correlation also gives better data in less time than alternative methods and gives an indication of sample quality. Rather than rejecting any data, Adaptive Correlation classifies all collected data using statistics.

In our Knowledge Center, you can find some technical notes that introduce these advantages.  I am also pleased to be able to share that a peer-reviewed paper describing Adaptive Correlation has been accepted for publication in the Nature journal- Scientific Reports, and can now be found for open access. (Just click on the image).

By publishing this paper, Adaptive Correlation has been subject to scrutiny and checks for scientific rigor. The advantages of the approach are not just marketing statements. We also hope that the paper demonstrates the benefits of the approach, which is unique to the new Zetasizer range.

If you are in search of a shorter and snappier overview of Adaptive Correlation, we still have you covered. We also recently made a video that gives a short overview of what Adaptive Correlation is and how it works: