MLDT: an open-source multilayer diffusion theory Python implementation
Thomas T. Livecchi, Mark C. Pierce, Steven L. Jacques · 2026
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Description
Thomas T Livecchi, Mark C Pierce, and Steven L Jacques released an open-source Python tool that predicts how light spreads through layered tissue, a calculation at the heart of optical diagnosis. Shining light on skin and reading the glow back can reveal blood, pigment, and water levels, but only if a model translates the signal. Gold-standard simulations crawl, while simple formulas pretend tissue has one uniform layer.
Their implementation solves the diffusion approximation for any number of layers with a fast banded-matrix method. Four hundred randomized comparisons against heavy simulations, covering one to eight layers, showed the fast model's spectra hugging the reference closely. Calculation time dropped by more than five orders of magnitude, to a tiny fraction of a second per spectrum, and error did not grow with extra layers. The authors offer the code freely for real-time tissue profiling work.
Catalog record
| CREATOR | Thomas T. Livecchi, Mark C. Pierce, Steven L. Jacques |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |