We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

Merck Millipore Partners with Gyros

Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: Less than a minute

Merck Millipore has announced a partnership with Gyros AB to develop, manufacture and commercialize immunoassay kits for the Gyrolab™ platform.

The new, fully validated kits from Merck Millipore will enable clinical researchers and drug developers to generate valuable research data much faster than typical ELISA kits.

Traditional ELISAs can consume significant time, sample and reagents. With the fully automated, walk-away system from Gyros, up to 560 data points can be generated in a run.

"We are very pleased to be able to partner with Gyros to fill a commercial need to provide immunoassay kits requiring only nanoliter reagent volume on a truly high-throughput platform," says Jehangir Mistry, PhD, General Manager, Multiplex & Immunoassays at Merck Millipore.

Because the Gyrolab™ platform employs microfluidic technology with parallel processing, it offers many advantages over traditional assays in addition to reagent and time savings.

Gyrolab™ assays provide (1) accuracy over a four-log dynamic range, compared to two logs for ELISAs (2) elimination of cross-talk and plate position artifacts and (3) simplified sample prep with reduced matrix interference.

Gyros' Global Marketing Director Maria Hjortsmark commented: "The Gyrolab™ platform revolutionizes immunoassays, enabling scientists to analyze a large number of samples in parallel, at nanoliter scale and using a fully automated system. We are delighted that Merck Millipore has now chosen to work with us to develop off-the-shelf kits, to further reduce time to results, freeing up analyst time and offering an easier route to robust, reproducible data."