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

Author

Listed:
  • 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
    Harvard University
    Harvard University
    MIT Lincoln Laboratory)

  • David R. Glenn

    (Harvard University
    Harvard University
    Harvard University)

  • Ronald L. Walsworth

    (Harvard University
    Harvard University
    Harvard University)

  • Mikhail G. Shapiro

    (California Institute of Technology)

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.

Suggested Citation

  • Hunter C. Davis & Pradeep Ramesh & Aadyot Bhatnagar & Audrey Lee-Gosselin & John F. Barry & David R. Glenn & Ronald L. Walsworth & Mikhail G. Shapiro, 2018. "Mapping the microscale origins of magnetic resonance image contrast with subcellular diamond magnetometry," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02471-7
    DOI: 10.1038/s41467-017-02471-7
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