Articles

Arriving soon: rotatable cryogen-free MRI

University of Nottingham Ningbo China plans to introduce world’s first 1.5T rotatable dual-gesture cryogen-free MRI
Brought to you byDDNews Staff
| 2 min read

NINGBO, China—A collaboration between University of Nottingham Ningbo China (UNNC), Ningbo Gaosi Superconducting Technology Co. Ltd., Ningbo XinGaoYi Medical Equipment Co. Ltd., the First Affiliated Hospital of Zhejiang University School of Medicine and China Academy of Sciences University Ningbo Hwamei Hospital will soon introduce the world to new magnetic resonance imaging (MRI) technology.

The collaboration’s research project, entitled “Development of 1.5 T cryogen-free superconducting magnets,” has recently achieved a phased breakthrough. The UNNC is expected to introduce the world’s first 1.5T rotatable dual-gesture scanner in the near future.

To continue reading this article, subscribe for FREE toDrug Discovery News Logo

Subscribe today to keep up to date with the latest advancements and discoveries in drug development achieved by scientists in pharma, biotech, non-profit, academic, clinical, and government labs.

Add Drug Discovery News as a preferred source on Google

Add Drug Discovery News as a preferred Google source to see more of our trusted coverage.

Here are some related topics that may interest you:

Subscribe to Newsletter

Subscribe to our eNewsletters

Stay connected with all of the latest from Drug Discovery News.

Subscribe

Sponsored

Researcher examining a multiwell plate alongside cell culture dishes in a laboratory.
Explore how direct cell lysis can reduce sample preparation steps and support efficient gene expression analysis by RT-qPCR.
Abstract rainbow-colored beams of light spreading across a dark background.
Compare fluorochromes based on resolution, spillover, antigen expression, and other factors that can affect panel performance.
Illustration of multiple glowing blue and purple spherical cells against a dark blue background.
As researchers embrace more complex cellular models, high-content analysis brings new opportunities and challenges to drug discovery.