New Agilent Lab Software Suite Unifies Instrument Data Systems, Electronic Lab Notebook and Data Archival
News Mar 17, 2010
“Customers want solutions that reduce the time from discovery to delivery of a new chemical or biological entity,” said Nick Roelofs, Ph.D., president, Agilent Life Sciences Group. “By providing solutions that support evolution of existing systems, minimizing retraining, the OpenLAB portfolio protects a laboratory’s investment and knowledge. Customers will benefit from the productivity enhancements faster, through the integrated collaboration and data management tools.”
“OpenLAB is scalable, open architecture, based on industry open standards, that enables customers to easily capture, analyze and share scientific data throughout the lab and across the enterprise,” said Tony Owen, Agilent senior manager, Software and Professional Services Marketing. “The new OpenLAB portfolio resolves a number of software challenges that affect labs of all sizes, and our open-systems approach means customers design the lab they want rather than having to work around their software systems.”
Agilent OpenLAB consists of three integrated solutions: OpenLAB Chromatography Data System (CDS), OpenLAB Electronic Lab Notebook (ELN), and OpenLAB Enterprise Content Manager (ECM). The system is designed to grow with customers’ needs, from a small standalone analytical lab through a global network with hundreds of locations. Agilent OpenLAB is instrument vendor-neutral and provides easy migration paths from existing systems, protecting customers’ investments in existing systems.
Small imperfections in a wine glass or tiny creases in a contact lens can be tricky to make out, even in good light. In almost total darkness, images of such transparent features or objects are nearly impossible to decipher. But now, engineers at MIT have developed a technique that can reveal these “invisible” objects, in the dark.
For scientists wrestling with problems as diverse as containing superhot plasma in a fusion reactor, improving the accuracy of weather forecasts, or probing the unexplained dynamics of a distant galaxy, turbulence-spawning shear flow is a serious complicating factor. A new supercomputer-powered effort aims to make modelling shear far easier.
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