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Related Concept Videos

Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
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Radiative transport-based frequency-domain fluorescence tomography.

Amit Joshi1, John C Rasmussen, Eva M Sevick-Muraca

  • 1Division of Molecular Imaging, Department of Radiology, Baylor College of Medicine, Houston, TX 77030, USA. amitj@bcm.edu

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We developed a new fluorescence optical tomography method using radiative transport models. This technique efficiently locates fluorophore concentrations in simulated mouse organs with minimal computational cost.

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Area of Science:

  • Biomedical optics
  • Medical imaging
  • Computational modeling

Background:

  • Fluorescence optical tomography (FOT) is a promising imaging modality for biological tissues.
  • Accurate modeling of near-infrared (NIR) fluorescence propagation is crucial for FOT.
  • Existing methods often face challenges with computational cost and accuracy.

Purpose of the Study:

  • To develop a novel radiative transport model-based FOT method.
  • To enable efficient and accurate prediction of fluorescence measurements.
  • To demonstrate the capability of locating fluorophore concentrations in biological tissues.

Main Methods:

  • Utilized a coupled radiative transport model for NIR fluorescence propagation.
  • Employed a novel software based on the Attila particle transport simulation platform.
  • Implemented an adjoint transport solution-based algorithm on dual grids for Jacobian matrix assembly.

Main Results:

  • Achieved prediction of fluorescence measurements with non-contact sources and detectors.
  • Demonstrated minimal computational cost for the proposed scheme.
  • Successfully performed fluorescence tomography on a realistic computational mouse model.

Conclusions:

  • The developed radiative transport model-based FOT is effective for locating fluorophore distributions.
  • The method offers a computationally efficient approach for biomedical imaging.
  • This technique shows potential for in vivo imaging applications in preclinical research.