Latest LIMS on Show at Lab Innovations 2014
News Aug 12, 2014
Autoscribe’s Managing Director, John Boother, explained: “Laboratories in clinical diagnostics and many other scientific areas are handling ever increasing volumes of data. We have customers running hundreds of thousands of samples a day, each possibly requiring thousands of individual measurements or calculations. We are constantly looking to improve our product and make use of improvements in PC processors so speeding up some of the functionality offers real practical benefit to our customers.”
“These improvements are just one facet of our unique ‘future proofing’ product support service for the Matrix family of LIMS,” he continued.
“The Matrix product line has been developed to specifically ensure backwards compatibility and easy upgrades for existing customers, meaning that if customers take out a support and maintenance contract they are getting a ‘LIMS for life’ - there are no hidden additional costs for major upgrades.”
Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased cells.
Large-scale supercomputing is essential to solving complex questions about our world. But storage platforms essential for these advanced computer systems have been stuck in a rigid framework that required users to either choose between customization of features or high availability. Now, researchers have found a way to give high-performance computing data systems the flexibility to thrive with a framework called BespoKV, perhaps helping to one day achieve the HPC goal of performing at the exascale, or 1 billion billion calculations per second.READ MORE
International Conference on Food Technology and Nutritional Science
Sep 23 - Sep 24, 2019