Gyros Awarded Frost & Sullivan Technology of the Year Award
News Nov 16, 2005
Gyros has announced that it has been awarded Frost & Sullivan’s 2005 Excellence in Technology of the Year Award in the field of laboratory automation for Gyrolab™ automated system (Gyrolab Workstation).
Frost & Sullivan’s Excellence in Technology Award is given to the company that has pioneered the development and introduction of an innovative technology into the market; a technology that has either impacted or has the potential to impact several market sectors.
The award recognizes the company’s technology development that is expected to bring significant contributions to the industry in terms of adoption, change, and competitive posture.
It also recognizes the overall technical excellence of the company and its commitment towards technology innovation.
Gyrolab Workstation enables researchers to generate information from fewer samples and improves lab performance by streamlining the many steps of conventional applications into single, nanoliter scale procedures.
The technology is currently used for protein analysis applications within research, drug discovery and development, and in vitro diagnostics for medical applications in collaboration with partners.
Commenting on the award, Jan Würtz, CEO & President of Gyros AB said, "This is a fantastic achievement and we are obviously delighted to receive the award."
"It is especially satisfying to know that the significant and unique benefits offered by Gyros technology are becoming more widely recognized in what is a very competitive market place."
"It is also a great reward for everybody within the company who have worked so hard in developing the technology and successfully bringing it to market", added Mr. Würtz.
Chinese researchers have developed interfacially polymerized porous polymer particles for low- abundance glycopeptide separation. These polymer particles - with hydrophilic-hydrophobic heterostructured nanopores - can separate low-abundance glycopeptides from complex biological samples with high-abundance background molecules efficiently.