• Updated Software Available for Analytical LC and LC/MS/MS Data Management

Mass Spectrometry & Spectroscopy

Updated Software Available for Analytical LC and LC/MS/MS Data Management

May 15 2013

Waters Corporation is now shipping UNIFI® Scientific Information System, release version 1.6, for the Waters® Biopharmaceutical Platform Solution, Regulated Bioanalysis Platform Solution, Screening Platform Solution, Pesticide Screening Application Solution and Metabolite Identification Application Solution. UNIFI 1.6 features improved software performance, default and customisable workflows capabilities, and multi-user server-based connectivity. 

“With industry-leading core technology positions in separations, detection, chemistries, and informatics, Waters is uniquely positioned to develop systems that optimise technology performance for dedicated application areas,” said Dr Rohit Khanna, Vice President of Informatics and Worldwide Marketing for the Waters Division. “With each release of UNIFI, we are working and collaborating with customers to guide development of future platform and application solutions. The expansion of UNIFI-based solutions is an evolutionary process that is proving successful for our customers.”

With version 1.6, UNIFI significantly expands its available laboratory footprint from a single workstation to support multi-user, server-based workgroups for the capture, storage, and management of analytical LC, LC/MS, and LC/MS/MS data across applications. Additionally with this release, UNIFI advances its ability to manage and store exponentially larger dataset files with improved robustness, performance, and processing speed.

“This is major step forward towards Waters’ vision for UNIFI as an enterprise-wide Scientific Information System,” continued Dr Khanna. “UNIFI’s workgroup configuration is designed to support multiple scientists within a common software environment. From acquisition to data interpretation to reporting, UNIFI comprehensively captures scientific workflow. UNIFI offers laboratory-dependent organisations improved abilities to unite the knowledge and improve productivity of their researchers.”


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