Webinars LabRulezGCMS Week 27/2025

LabRulez: Webinars LabRulezGCMS Week 27/2025
In the week of June 30, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.
👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION
👉 Search and filter in the largest global database with over 4 500 GC, LC, MS and spectroscopy webinars.
1. Agilent Technologies: From Insights to Outcomes: Real-World Optimization of Lab Operations Using CrossLab Connect Digital Services
- Already taken place Monday, June 30, 2025
- Registration
Discover how labs capitalize on utilization and service data with CrossLab Connect. Case studies show how informed decisions drive cost savings, productivity gains, and sustainability progress.
2. Agilent Technologies: Go Beyond Limits in Pesticide Analysis: Watch, Ask, Connect with Agilent
- Already taken place Monday, June 30, 2025
- Registration
Watch the webinars, submit your question and join us for live Q&A session on June 30 to consult directly with Agilent experts and gain practical insights on pesticide analysis.
3. Agilent Technologies: Optimizing Laboratory Procurement with Digital Services: Take Control of Your Laboratory Spend with Agilent CrossLab Connect
- Tuesday, July 1, 2025, 16:00 CEST
- Registration
Learn how labs use CrossLab Connect to optimize CapEx & OpEx, avoid unnecessary instrument purchases, and fine-tune service coverage using risk-based, data-driven insights and real case studies.
4. Wasson-ECE Instrumentation: Data Handling Software: OpenLab Chemstation vs OpenLab CDS
- Tuesday, July 1, 2025, 21:30 CEST
- Registration
Explore how OpenLab CDS enhances chromatography workflows by integrating features from ChemStation, EZChrom, and MassHunter to boost usability, productivity, and user experience.
5. Agilent Technologies: Biopharmaceutical Raw Material Verification with Handheld Vaya Raman Spectrometer
- Thursday, July 3, 2025, 20:00 CEST
- Registration
The Agilent Vaya handheld Raman spectrometer increases raw material identification throughput without increasing costs by reducing the need for sampling.
