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Fluorescence laminar optical tomography for brain imaging: system implementation and performance evaluation.

Mehdi Azimipour1, Mahya Sheikhzadeh1, Ryan Baumgartner1

  • 1University of Wisconsin-Milwaukee, Electrical and Computer Engineering Department, 3200 North Cramer Street, Milwaukee, Wisconsin 53211, United States.

Journal of Biomedical Optics
|January 6, 2017
PubMed
Summary
This summary is machine-generated.

We developed a novel fluorescence laminar optical tomography scanner for noninvasive 3D brain imaging in rodents. This system aids neuroscience research by visualizing fluorescence proteins in vivo, advancing brain circuit studies.

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Area of Science:

  • Biomedical optics
  • Neuroimaging
  • Fluorescence tomography

Background:

  • Noninvasive imaging of fluorescence proteins in rodent brains is crucial for neuroscience research.
  • Existing methods may lack the resolution or depth required for studying brain circuit dynamics.

Purpose of the Study:

  • To implement a fluorescence laminar optical tomography (FLOT) scanner for high-resolution, 3D in vivo imaging of fluorescence proteins in small rodent brains.
  • To develop and validate image reconstruction algorithms for accurate light-tissue interaction modeling.

Main Methods:

  • Utilized a laser beam scanned via a cylindrical lens for surface illumination.
  • Employed epi-fluorescence optics and an electron multiplication CCD sensor for signal detection.
  • Developed image reconstruction algorithms using Monte Carlo simulations and iterative simultaneous algebraic reconstruction technique (SART).

Main Results:

  • Successfully imaged microfabricated silicon microchannels in a brain-mimicking phantom.
  • Demonstrated in vivo imaging of rodent brain tissue.
  • Validated the hardware design and reconstruction algorithms through experimental results.

Conclusions:

  • The developed FLOT system provides a noninvasive tool for 3D fluorescence imaging in rodent brains.
  • This technology can significantly facilitate neuroscience experiments studying brain circuitries using molecular genetic methods.
  • The system's performance in phantoms and in vivo suggests its potential for advancing our understanding of neural dynamics.