AI‑Driven Semiquantitative ICP-OES Analysis: Introducing SPECTRO AI QUANT
Advancing elemental analysis requires a fast and reliable way to evaluate unknown samples—without the burden of method development. This live webinar introduces an AI-driven approach that streamlines semiquantitative analysis across a wide range of sample types.
You’ll learn how modern spectral libraries, automated background correction, and machine learning-supported evaluation improve data confidence and deliver immediate insights, even when sample matrices change.
The webinar will demonstrate how SPECTRO AI QUANT reduces complexity and saves time. Ideal for unknown samples, screening tasks, routine safety checks, and post analysis evaluations, it enables efficient analysis without standards or calibration—helping laboratories stay productive and adapt quickly to new challenges.
What you will learn:
- How to obtain fast results for unknown samples without line selection, standard preparation and calibration
- How to increase confidence in semiquantitative data using AI-supported spectral evaluation
- How to simplify workflows and save time in screening, safety checks, and routine analysis
The live webinar will take place on Thursday, April 2, 2026 and will take around 30 minutes, after which we'll answer your questions live:
- 10:30 AM CEST (Berlin); 4:30 PM SGT (Singapore) — Time Slot 1
- 11:00 AM EDT (New York); 5:00 PM CEST (Berlin) — Time Slot 2
Presenter: Olaf Schulz is SPECTRO's product manager for ICP-OES and is responsible for the strategic development of the complete product line including application development and product support. Olaf’s experience in optical emission spectroscopy for material analysis and testing spans more than 40 years.
