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A Week in the Life of Vicky Starkie, Customer Success Team
Meet Vicky, who joined Waters’ Customer Success Team about two years ago with 20 years of LC-MS experience. She specializes in clinical forensic and toxicological applications supporting customers in Northern Europe.
Skin Lightening Products: Are They Cosmetics or Drugs?
You won't like what we found when we tested skin lightening cosmetics that we purchased online.
A Virus Gives Up One of Its Long-Held Secrets to Researchers at the National University of Singapore
Eradicating all the mosquitoes that may cause Dengue fever isn't a realistic solution. Instead, researchers at the NUS are using advanced analytical technologies to understand what causes the virus to incubate and spread – and thus, to find a way to stop it.
A Week in the Life of Ian Davidson, LC-MS System Service Engineer
Meet Ian, an LC-MS system engineer based in the UK, who is responsible for system installs, service, and maintenance. Being a former Waters customer drives Ian’s approach to customer service and going the extra mile.
Reducing the Frequency of Service Engineer Visits for LC-MS Maintenance to Annual Events
Labs like King’s Liver Laboratories in London need to analyze thousands of samples with fast turnaround times, so it’s critical to have reliable LC-MS/MS instrumentation that works every day and provides accurate and precise results.
A Day in the Life of Michelle Wood, R&D Toxicology Manager, Scientific Operations
Michelle and her team are responsible for identifying high-demand assays and developing appropriate LC-MS solutions for use in toxicology.
A Week in the Life of Mark Halifax, Senior Analytical Scientist, Systems Evaluation
Have you ever wondered what’s required to design, build, and support an LC-MS system? Meet Mark, who works on our Systems Evaluation team.
Data Integrity Matters | Unjustified Invalidation of Orphan Data
Orphan data may exist for any number of scientific or operational reasons, but in today's environment – until the regulators trust the companies again – each piece of orphan data is suspect and may contain evidence of data tampering. So can you delete it?