Paper
14 June 2011 Mesh-based Monte Carlo code for fluorescence modeling in complex tissues with irregular boundaries
Robert H. Wilson, Leng-Chun Chen, William Lloyd, Shiuhyang Kuo, Cynthia Marcelo, Stephen E. Feinberg, Mary-Ann Mycek
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Abstract
There is a growing need for the development of computational models that can account for complex tissue morphology in simulations of photon propagation. We describe the development and validation of a user-friendly, MATLAB-based Monte Carlo code that uses analytically-defined surface meshes to model heterogeneous tissue geometry. The code can use information from non-linear optical microscopy images to discriminate the fluorescence photons (from endogenous or exogenous fluorophores) detected from different layers of complex turbid media. We present a specific application of modeling a layered human tissue-engineered construct (Ex Vivo Produced Oral Mucosa Equivalent, EVPOME) designed for use in repair of oral tissue following surgery. Second-harmonic generation microscopic imaging of an EVPOME construct (oral keratinocytes atop a scaffold coated with human type IV collagen) was employed to determine an approximate analytical expression for the complex shape of the interface between the two layers. This expression can then be inserted into the code to correct the simulated fluorescence for the effect of the irregular tissue geometry.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert H. Wilson, Leng-Chun Chen, William Lloyd, Shiuhyang Kuo, Cynthia Marcelo, Stephen E. Feinberg, and Mary-Ann Mycek "Mesh-based Monte Carlo code for fluorescence modeling in complex tissues with irregular boundaries", Proc. SPIE 8090, Novel Biophotonic Techniques and Applications, 80900E (14 June 2011); https://doi.org/10.1117/12.889718
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Cited by 4 scholarly publications.
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KEYWORDS
Tissues

Luminescence

Monte Carlo methods

Interfaces

Signal detection

MATLAB

Natural surfaces

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