Webinar Overview
Laboratories are under growing pressure to handle increasing volumes of samples and data while operating under tighter regulatory inspection, all without compromising turnaround times or traceability. In this context, many organizations attempt to extend existing workflows and legacy tools, which can introduce inefficiencies, increase manual effort, and create compliance risks. At the same time, it is not always clear which digital solutions are best suited to address these challenges.
This presentation illustrates how modern digital laboratory environments streamline routine activities by minimizing manual tasks and embedding compliance directly into everyday workflows. Drawing on a real-world use case, we show how automated capture of data from multiple sample measurements at the point of execution enables a continuous, sample-centric workflow.
By removing manual interventions and paper-based processes, laboratories can improve efficiency and visibility, support faster and more reliable decision-making while remaining responsive to evolving customer demands.
Thursday, September 3rd, 2026, 11:00 AM EDT | 05:00 PM CEST
Learning Points
- The role of different systems (LIMS, SDMS, ELN) within the digital lab landscape and how they differ from each other's
- How WebLab manages laboratory operations from a sample perspective, enabling you to track every sample, stage, and next action across workflows
- How automated data capture from connected instruments helps reduce errors, lower contamination risks, and accelerate sample processing
- You will see, through a real-life example, how integrated digital workflows improve data quality, accelerate reporting, and increase operational efficiency
Who should attend
Professionals working in small to mid‑sized laboratories, including:
- Directors and Managers of Analytical, QC, or Contract Labs
- Lab Operations and QA/QC Leaders
- Digitalization and IT at organizations transitioning from paper, Excel, or legacy systems to LIMS
Speakers
Peter Bellstedt, PhD
Director of Scientific Business Development at SciYPeter studied Biochemistry at the University of Jena, earning a PhD in structural biology using NMR spectroscopy before heading Jena's NMR Spectroscopy Platform, where he digitized and scaled facility-wide operations. After leading a structure-based drug discovery research group as Principal Investigator at the University of Zurich, he transitioned to industry to drive enterprise platform transformation. Following his tenure leading product strategy and business development for LOGS SDMS, Peter is currently Director of Scientific Business Development at SciY (Bruker), focusing on global cross-functional initiatives, FAIR data governance, and accelerating digital R&D workflows on an enterprise scale.