You can accept or revoke the cookies used on this website at any time with the selection below or by adjusting your cookie settings. For complete details about our cookies, see our Cookie Policy.
Sample parameters - what to monitor to increase your experiment's success
Get to know your samples and their potential to provide quality results
Depending on the downstream application, four main quality parameters can characterize the quality of your nucleic acid samples – quantity, purity, size and sequence.
Variations in these parameters can impact your experiments and affect the data quality and results interpretation. Even small variations can mean the difference between assay success or failure.
Here we describe the influence of these parameters on downstream applications, how to assess them and how to implement quick and simple quality control measures that can help increase your assay success.
Accurate sample quantification is the first step toward meaningful results by ensuring that accidental estimation errors do not disrupt the downstream assays
Assessing nucleic acid size distribution gives insights into sample integrity and helps identify poor-quality or degraded samples not suitable for analysis