Metabolic Support of Excised, Living Brain Tissues During Magnetic Resonance Microscopy Acquisition

Jeremy J Flint1, Kannan Menon2, Brian Hansen3

  • 1Department of Neuroscience, University of Florida; McKnight Brain Institute, University of Florida; jflint@mbi.ufl.edu.

Insights

This new protocol allows magnetic resonance (MR) microscopy of living brain slices, overcoming previous resolution limits. This breakthrough enables detailed study of tissue microstructure for improved disease diagnosis and treatment monitoring.

Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Traditional magnetic resonance (MR) microscopy is limited to fixed samples due to long scan times.
  • Existing methods for live tissue MR lack the resolution to visualize microstructure.
  • Understanding microscopic changes in live tissue is crucial for interpreting clinical MR scans.

Purpose of the Study:

  • To present the first magnetic resonance (MR) microscopy protocol for imaging living mammalian tissue slices at microscopic resolution.
  • To enable the study of pathology-based contrast changes at the microstructural level.
  • To bridge the gap between microstructural MR data and macroscopic clinical scans.

Main Methods:

  • Developed a protocol to maintain metabolic function in acute brain slice preparations during MR data collection.
  • Utilized a specialized MR compatible perfusion system with constant, regulated flow.
  • Adapted the protocol for brain slices, with potential for other excised tissues.

Main Results:

  • Achieved microscopic resolution imaging of living mammalian tissue slices using MR microscopy.
  • Demonstrated MR diffusion signal stability in live acute slice preparations for up to 15.5 hours.
  • The system is compatible with MR microscopy hardware for high-resolution imaging.

Conclusions:

  • This protocol represents a significant advancement in MR microscopy, enabling in vivo studies of tissue microstructure.
  • The technique facilitates understanding of how microstructural changes influence clinical MR imaging.
  • Potential for developing more sensitive and accurate diagnostic methods, leading to earlier disease detection and improved patient outcomes.