
TechTalk: Building confidence at scale in 4D‑Metabolomics with data quality, depth and connectivity in focus
Friday, July 17 at 16:00 BST | 17:00 CEST | 11:00 EDT | 08:00 PDT
Metabolomics is a core pillar of modern systems biology, offering deep insights into the dynamic metabolic phenotypes that underpin human health and disease. Realizing its full potential requires generating high-quality and reproducible representations of complex metabolomes and enabling accurate comparison among them.
In this SelectScience® TechTalk, Dr. Matthew Lewis, Bruker Daltonics' Vice President of Metabolomics & Lipidomics, makes the case that metabolomics advances when quality is in focus. With the timsMetabo™ and its 4D data richness as the foundation, he examines what it takes to achieve confidence at scale, employing advanced quality control to monitor measurement precision, annotation scoring to ensure accurate connection to biochemical processes, and hybrid workflows that allow quantitation and discovery to thrive on the same platform.
The timsMetabo's multidimensional, AI-ready data and the digital metabolome archive turns the question from: Have I ever seen this before? into an executable query, using MetaboScape to connect spectra and annotations across distinct studies. Dr. Lewis sets out how this connected future is taking shape, and why Bruker, as a full solutions provider, is best positioned to deliver it.
By registering, you will learn how this connected approach reduces re‑runs, strengthens data comparability across studies, and equips you to generate the robust, AI‑ready datasets that accelerate discovery and support more reliable systems‑level insights.
Certificate of attendance
If you attend the live TechTalk, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. If you view the on-demand TechTalk, you can request a certificate of attendance by emailing editor@selectscience.net.
TechTalk details
- Cost: Free to attend
- Location: Online
- Duration: 20 minutes
Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.
Speakers

Who should attend?
- Professionals in biopharmaceuticals
- Clinical researchers
- Professionals in metabolomics
- Professionals using mass spectrometry
What will this webinar cover?
- How data quality, reproducibility and exchange have become defining constraints in metabolomics/lipidomics
- What 'precision' and 'reproducibility' enable in practice
- How AI‑ready metabolomics workflows are supported by robust, connected datasets
- How a complete solution approach with timsMetabo™ can strengthen confidence and comparability
Join the webinar to get answers to these questions:
- How does timsMetabo™ use advanced ion mobility and 4D metabolomics to improve sensitivity and metabolite annotation?
- Which quality control strategies ensure high‑quality, reproducible data in large, multiomics workflows?
- How can a digital metabolome archive cut re‑runs and support long‑term data comparability?
- In what ways does multidimensional metabolomics data create robust, AI‑ready datasets?
- How can timsMetabo™ be deployed in large‑scale profiling to tackle key metabolomics challenges and accelerate discovery?

