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

Thermo Fisher Scientific Announces 4th Annual Cellome Award Winner

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: 1 minute

Thermo Fisher Scientific, this week will present its 2014 Cellome Award to the authors of the peer-reviewed article, “A regenerative approach to the treatment of multiple sclerosis,” that was featured in the October 2013 issue of Nature.

Vishal Deshmukh, of The Scripps Research Institute will be accepting the award on behalf of all the contributing authors of the paper during the Cambridge Healthtech Institute’s High Content Analysis Meeting, February 19-20, 2014 in La Jolla, CA.

Contributing to the paper’s selection was the use of high content technology and its potential clinical impact by showing the effectiveness of benztropine administration alone or in conjunctive therapy in a Multiple Sclerosis model to enhance remyelination and functional recovery.

The Thermo Scientific Cellome Award is presented annually by Thermo Fisher Scientific’s cellular imaging and analysis business to the authors of the most impactful peer-reviewed article which showcases high content technology as a fundamental method.

Papers using Thermo Scientific cellular imaging and analysis products are collected and reviewed throughout the year, and one paper is selected which represents the best use of high content technology in life science research.

“We congratulate Vishal and his team on receiving this year’s award,” said Audra Ziegenfuss, technical product manager, cellular imaging and analysis, Thermo Fisher. “This in vivo evidence contributes to the development of novel therapies in the treatment of multiple sclerosis and ultimately improved clinical management of this patient population.”

“I have taken a phenotypic rather than target based approach using various readouts, including high-throughput high content imaging,” said Deshmukh. “I am extremely happy to receive this award as recognition of our HCI-HTS efforts and hope to continue using this approach in various other assays."

Contributors to the Nature paper include: Vishal A. Deshmukh, Virginie Tardif, Costas A. Lyssiotis, Chelsea C. Green, Bilal Kerman, Hyung Joon Kim, Krishnan Padmanabhan, Jonathan G. Swoboda, Insha Ahmad, Toru Kondo, Fred H. Gage, Argyrios N. Theofilopoulos, Brian R. Lawson, Peter G. Schultz, and Luke L. Lairson.