Think AS-MS data analysis is straightforward? Think again.

In this insightful webinar, Virscidian’s Senior Scientist Mark Spears walks through some of the overlooked challenges that impact the quality and accuracy of AS-MS hit lists. From compound misidentification to background noise filtering and the ever-tricky problem of isomers, this talk reveals why how you analyze matters just as much as what you analyze.

You’ll learn:

• Why seemingly small parameter choices, like retention time windows or background hit thresholds, can cause a 30% swing in results
• How automated filters can replicate manual review at scale
• What false positives and negatives really cost you in high-throughput screening
• Why library design plays a critical role in reliable identification

Whether you're refining your workflow or scaling to 250,000+compounds, this presentation will reshape how you think about AS-MS data treatment.

Watch the full presentation and see how the right analysis strategy can eliminate noise and highlight real hits.