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Photobiomodulation (PBM) involves the use of red and near-infrared (NIR) light between 600 and 1,100 (nm) as a therapeutic modality. PBM’s non-invasive, non-thermal, non-ionizing characteristics are useful for applications in medicine, including dentistry, dermatology, neurology, physical therapy, sports medicine, and ophthalmology. The light source in PBM typically includes a low-power laser or LED, with the choice of wavelength dependent on the target tissue and therapeutic objectives. Superficial layers absorb red light (600 to 700nm) and NIR light (780 to 1,100nm) has the ability for deeper penetration. While wavelength is a key parameter in PBM, other factors significantly influence therapeutic efficacy. The understanding of these variables is critical in achieving desired outcomes. PBM devices often utilize a Gaussian light source, notable for its highest intensity at the center, tapering off towards the edges. This characteristic allows for precise, targeted treatment and uniform dose distribution, which is crucial for clinical efficacy. This study aims to assess the light distribution and fluence rate distribution of a 660nm FDA-approved PBM device. This novel modeling platform will measure the light distribution in a heterogenous medium (air) via an isotropic detector at standardized distances of 0 to 14mm. We will employ both linear and non-linear wavelength fitting algorithms to assess light absorption (μa), scattering (μs’), and effective attenuation (μeff) to determine the final output of mW/cm^2. Statistical analysis will scrutinize the mean and standard deviation from the resulting profile, thereby providing valuable insight for future research and the clinical application of this Gaussian light source.
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