Sentence examples for migration of photons from inspiring English sources

The model is built upon probability theory governing random migration of photons in free space, undergoing scattering, in terms of angular direction and distance.

In the context of photon relaxation, this is analogous to the rate of migration of photons across a surface.

The fluorescence emission is treated with a mathematical model that is capable of describing the migration of photons from the source to the fluorophore and of emitted fluorescent photons from the fluorophore to the detector, for all those geometries for which Green's functions can be calculated.

The fluorescence emission is treated with a model that describes the migration of photons from the source to the fluorophore and of emitted fluorescent photons from the fluorophore to the detector, for all those geometries for which Green's functions can be calculated.

The fluorescence emission is treated with a mathematical model that describes the migration of photons from the source to the fluorophore and of emitted fluorescent photons from the fluorophore to the detector for all those geometries for which Green's functions are available.

In addition, while the penetration depth of near infrared light is still larger than of visible light, image degradation due to photon migration (of emitted photons) may play a significant role when imaging at the larger depth is performed.

The description of optical radiation propagation within random media is based on the radiative transfer [ 5] that forms a basis of Monte Carlo (MC) modeling of photons migration in biological tissue [ 6].

The key problem of optical imaging is the image reconstruction which depends on photon migration in biological tissues; because the study of photon migration in the biological tissues is a complicated problem.

According to the theory of photon migration, absorption events reduce the weight of a photon package during the migration process.

Efficient forward models of photon migration in complex geometries are important for noninvasive imaging of tissue in vivo with diffuse optical tomography (DOT).

The applicability of the algorithm was evaluated using a set of diffuse reflectance spectra produced by a Monte Carlo simulation model of photon migration and by tissue phantoms experimentally.