4D-Metabolomics™ in Action: Real‑World Strategies for Deep Discovery and Confident Annotation

Advances in metabolomics and lipidomics are generating unprecedented volumes of complex data, but confident identification and biological interpretation of small molecules remain significant challenges. Limitations in annotation, data dimensionality, and reproducibility can slow discovery and reduce confidence in downstream decision making across clinical, translational, and applied research.

In this live broadcast event, leading experts explore how next generation mass spectrometry technologies, ion mobility, and computational tools are helping researchers move from complex datasets to confident insight. Through three short, focused scientific talks, speakers will share real world examples of how multi dimensional data and advanced workflows are being used to improve metabolite and lipid annotation, accelerate small molecule discovery, and enable more robust and reproducible analyses.

Who Should Attend

• Untargeted metabolomics and natural products researchers focused on spectral annotation and structure elucidation
• Microbiome, exposomics, and environmental health scientists 
• Drug discovery scientists using AI/ML and computational chemistry
• Core facility managers and method developers building reproducible, multi-dimensional LC-MS/MS workflows
• Cheminformatics and computational scientists working with spectral repositories and ML-based metabolite prediction
• Lab leaders evaluating next-generation ion mobility MS platforms for 4D-metabolomics and 4D-lipidomics

Key Learning Objectives

• How to boost identification confidence and speed using timsMetabo™, isotope‑based filtering, and MassQL
• Applying multi‑dimensional data (including ion mobility and CCS) to improve metabolite annotation
• Tips for accelerating small‑molecule discovery and lipidomics workflows with robust, reproducible approaches
• Navigating current bottlenecks in non‑targeted and targeted metabolomics and lipidomics