Quantification of bioluminescence images of point source objects using diffusion theory models.

Area of Science:

• Biomedical Optics
• Medical Imaging
• Biophotonics

Background:

• Accurate localization of bioluminescent sources in tissue is crucial for various biomedical applications.
• Existing methods may lack simplicity or accuracy in determining both location and power.

Purpose of the Study:

• To develop and validate a straightforward approach for estimating the depth and power of a bioluminescent point source within biological tissues.
• To assess the method's performance using computational simulations and experimental phantoms.

Main Methods:

• Determining tissue optical properties from diffuse reflectance images at the emission wavelength.
• Modeling bioluminescence images using a single point source and derived optical properties.
• Iteratively adjusting source depth and power to match experimental data, employing diffusion approximation for light propagation.

Main Results:

• Monte Carlo simulations demonstrated depth recovery within 6% and relative source power within 12% for depths of 4-12 mm.
• Experiments with Intralipid phantoms yielded depth estimation within 8% and relative power within 20% for similar depths.
• Ex vivo chicken muscle samples showed accurate identification of source depths (4.5 and 10 mm) and their relative powers.

Conclusions:

• The developed method provides a simple and effective means for quantifying bioluminescent sources in tissue.
• The approach is robust, showing good accuracy in both simulated and experimental biological environments.
• This technique has potential applications in preclinical research and diagnostics requiring in vivo bioluminescence imaging.