More reliable results, less manual handling Automated clinical sample preparation for ICP-MS with clinPAL

Inhalte dieses Web Seminars

Wann: Mittwoch, 18. November, 2026 10:00 Uhr MEZ
Dauer: ~30 min
Sprache: English
Referenten:
Hagen Gegner, Scientific Communications & Project Specialist @ CTC Analytics AG
Franz Lehmann, Application Specialist ICP-MS @ Analytik Jena

Clinical laboratories face growing demands for reliable results, standardized sample preparation, and more efficient use of skilled laboratory resources.

In this collaborative web seminar, PAL System and Analytik Jena will connect the broader need for automation in clinical sample preparation with a practical solution for clinical ICP-MS workflows. We will open the session by outlining how automation can improve consistency, reduce manual handling, and make better use of skilled laboratory resources, while introducing the flexibility of the PAL System platform. Analytik Jena will then bring this perspective into the clinical laboratory, showing how clinPAL supports a streamlined workflow from sample handling and preparation to reproducible sample introduction. Together, we will demonstrate how an integrated approach can improve traceability and consistency, strengthen contamination control, and reduce reliance on manual processing.

You will see how automated sample identification, homogenization, dilution, and introduction can be integrated into a single standardized workflow for serum, plasma, whole blood, and urine.

Kernthemen:

• The role of automation in clinical sample preparation
• The flexibility of the PAL System platform for automated workflows
• Common challenges in manual ICP-MS sample preparation
• Manual and automated workflow comparison
• Sample traceability and contamination control
• Integration of clinPAL into the clinical ICP-MS workflow

Wer sollte teilnehmen?

• Clinical ICP-MS users
• Clinical chemistry and trace-element laboratory professionals
• Laboratory managers and supervisors
• Laboratory professionals evaluating automation for sample preparation workflows

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