• Next Generation Data Analysis Software


Next Generation Data Analysis Software

May 13 2013

ACD/Labs have announced the commercial availability of ACD/Spectrus DB. This powerful and unique database is at the core of the Spectrus integrated analytical and chemical knowledge management platform. Release of Spectrus DB represents a three-year effort resulting in the completion of the Spectrus platform which provides a variety of productivity-increasing enhancements, collaborative science, and the preservation of analytical intelligence. Plans for this new platform were unveiled at Pittcon 2011, shortly followed with the commercial release of ACD/Spectrus Processor, the all-in-one processing, structure characterisation, and reporting software designed to assist in the interpretation of analytical and chromatographic data. Pittcon 2012 marked the release announcement of ACD/Labs Spectrus Workbooks bringing higher productivity and efficiency to analytical laboratories, while adding complete, accessible, re-usable analytical characterisation to the modern informatics environment; and the capability to easily manage chemistry project data. 

The platform puts an end to the ‘one-and-done’ life cycle of analytical data to aid chemistry groups who are trying to maximise their return on investment for data generation. With the Spectrus platform, ACD/Labs builds upon its broadly accepted desktop applications and unique algorithms to unify chemical and analytical information into a homogeneous environment. Live data can be searched and re-analysed, and chemical intelligence re-applied. The result is a ‘one-to-many’ information-from-intelligence live cycle that brings unified laboratory intelligence to scientists all across the chemistry organisation. Spectrus DB can also be integrated with existing informatics systems to enhance their capabilities and achieve maximum return on investment.

The Spectrus DB can be easily configured to meet the needs of individual organisations and laboratories. Customisation can add automated processing and interpretation for higher productivity, while sample tracking and visualisation may be added to meet workflow requirements.

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