Significant Version Upgrade for Leading LIMS Platform

Thermo Fisher Scientific, Inc announced the Thermo Scientific SampleManager 10.0 LIMS (laboratory information

management system), a solution that is designed to deliver significant new time and cost savings for scientists and lab managers across the broadest range of process industries. SampleManager™ 10.0 improves access to data across the enterprise; delivers key business metrics to management; facilitates compliance with ISO, GLP and other regulatory requirements; and optimises workflows and quality management. SampleManager LIMS is the corporate standard at leading organisations in oil and gas, food and beverage, environmental and water, metals and mining and other process industries. It provides an intuitive user interface and logical workflow for laboratories looking to optimise their operations by standardising processes across geographies and streamlining data exchange across enterprise systems. It is designed to integrate with existing ERP, PIMS and MES systems and with other applications and instruments in and out of the laboratory, providing one standard user interface and allowing for easier standardisation for global enterprises. Users will gain greater efficiency with integrated solutions that deliver a new kind of connected productivity regardless of the analytical challenge.

For lab managers and users, SampleManager includes built-in functionality, including instrument calibration, operator training records and stock/inventory dashboard that deliver improved efficiencies, compliance and resource management. For IT and systems administration, a new Microsoft .NET development environment provides a comprehensive and intuitive tool kit for making system extensibility simple, delivering time and cost savings that is critical to process sustainability, including rapid prototyping and easier integration.

For management, data visualisation tools deliver the functionality necessary to integrate and connect all parts of the

organisation so that management can monitor and measure performance against key business metrics; user decisions are more responsive and informed. The need to fully integrate lab-generated data with existing enterprise systems requires organisations to optimise existing investments in laboratory and enterprise systems. Management must have continuous access to all of the data necessary to make informed decisions and monitor the health of their operations