Mapping the microscale origins of magnetic resonance image contrast with subcellular diamond magnetometry

Hunter C. Davis, Pradeep Ramesh, Aadyot Bhatnagar, Audrey Lee-Gosselin, John F. Barry, David R. Glenn, Ronald L. Walsworth and Mikhail G. Shapiro ()
Additional contact information
Hunter C. Davis: California Institute of Technology
Pradeep Ramesh: California Institute of Technology
Aadyot Bhatnagar: California Institute of Technology
Audrey Lee-Gosselin: California Institute of Technology
John F. Barry: Harvard University
David R. Glenn: Harvard University
Ronald L. Walsworth: Harvard University
Mikhail G. Shapiro: California Institute of Technology

Nature Communications, 2018, vol. 9, issue 1, 1-9

Abstract: Abstract Magnetic resonance imaging (MRI) is a widely used biomedical imaging modality that derives much of its contrast from microscale magnetic field patterns in tissues. However, the connection between these patterns and the appearance of macroscale MR images has not been the subject of direct experimental study due to a lack of methods to map microscopic fields in biological samples. Here, we optically probe magnetic fields in mammalian cells and tissues with submicron resolution and nanotesla sensitivity using nitrogen-vacancy diamond magnetometry, and combine these measurements with simulations of nuclear spin precession to predict the corresponding MRI contrast. We demonstrate the utility of this technology in an in vitro model of macrophage iron uptake and histological samples from a mouse model of hepatic iron overload. In addition, we follow magnetic particle endocytosis in live cells. This approach bridges a fundamental gap between an MRI voxel and its microscopic constituents.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-017-02471-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02471-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-017-02471-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().