How a thorough and disciplined approach can help buyers avoid unforeseen costs and other surprises
Computation unravels old and new questions in biology and chemistry
Where We Are vs. Where We Need to Be
The need for storage and management is more pressing than data generation.
Networking applications and the cloud have made it easier for individuals and businesses to collaborate. Meanwhile, the digitization of data [big data] has made it possible to identify collaboration partners and subsequently execute the outsourcing and offshoring of services and commodities as never before.
Superhighway for lab communication amoung disparate laboratory software systems.
In September 2012, the Institute for Laboratory Automation and Lab Manager — as part of the Lab Automation University program— will offer a series of webinars under the heading “Lab Automation Is Inevitable: Are You Ready?
While cloud computing is merely a metaphor to signify the abstraction of technology, resources and locations, the possibility of your laboratory missing out on the biggest technological leap ever is real. There has been a lot of hype over the
Automated biological testing can take on many forms, ranging from individual instruments performing a single task to large, room-sized, custom-robotic systems capable of automating very complex tasks. In between these two extremes are simple modular automated systems designed to automate a select series of tasks necessary for a specific assay technology.
Performance and productivity expectations for the modern laboratory have never been higher. Test results must be accurate, timely, and provided in the most cost-effective way possible. Fortunately for lab managers, automation technology has advanced.
For many of us, our introduction to laboratory automation revolves around the formerly popular Technicon SMA (Sequential Multiple Analyzer, circa 1969) and the SMAC (SMA + C), when a computer interface was added to the platform in 1974.
With the architectual basis for integration still undeveloped, users must focus on their own requirements.
Reliably tracking samples as they make their way throughout the scientific process is difficult yet absolutely necessary. Nevertheless, transcription errors, wrong versions of files or other mistakes are all too common and can lead to delayed product rollouts—or may even result in a product never making it to market.
Validation project management software offers a uniform method for managing projects, documentation and data.
My lesson to you is this: come up with an offbeat title like this, give it to the editor of a periodical in jest, and the next thing you know, youll be writing an article to match. Still, the title is true. Informatics permeates the modern lab.