MCRAD: Monte Carlo RAdiation Diffusion
Monte Carlo RAdiation Diffusion (MCRAD) is a software tool I developed to describe how light travels and spreads out through matter, especially turbid or ‘‘grainy’’ materials. MCRAD is especially useful to investigate how light moves through bacterial films, where light diffusion can make imaging difficult. It also can be used to investigate how light travels through the atmosphere causing, e.g., the sky to appear blue and clouds to appear grey or white. The code is available on my Github account here.
The Monte Carlo (MC) method uses statistics to predict how light moves through a bulk material. Imagine playing a game of pool. During the break shot, the cue ball is launched into the other balls, sending the cue ball and object balls randomly in all directions. The MC method works by launching a group of photon packets (similar to the cue ball) into a space filled with particles such as water droplets or bacteria cells (similar to the object balls). The MCRAD code tracks the location of the photon packets, and uses statistics to describe how light diffuses through the material on average.
MCRAD tracks a variety of quantities including:
- amount and locations of incident light that is absorbed, transmitted, and reflected,
- angular distribution of transmitted and reflected light,
- scattering order and time delay of transmission, reflection, and absorption,
- beam radius and penetration depth, and
- fluorescence generation, reabsorption, and transmission intensity and location. In addition, images can be simulated using scattered or fluorescence light.
The following figures demonstrate some example results from MCRAD that are used in my research.