Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://www.gehealthcare.com/products/magnetic-resonance-imaging/3-0t/discovery-mr750
Proper Citation: General Electric 3.0T MR750 Magnetic Resonance Imager (RRID:SCR_019961)
Description: Magnetic resonance imager that is built around a third-generation, short-bore, superconducting 3.0T magnet and can generate multiple image contrasts in a single MRI scan including T1, T2, STIR, T1 FLAIR, T2 FLAIR* and PD contrasts of the brain in a single acquisition.
Resource Type: instrument resource
Keywords: General Electric, Magnetic Resonance Imager, Instrument Equipment, USEDit
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for General Electric 3.0T MR750 Magnetic Resonance Imager.
No alerts have been found for General Electric 3.0T MR750 Magnetic Resonance Imager.
Source: SciCrunch Registry
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
