ArticleJournal of biophotonics2021
A computationally efficient Monte-Carlo model for biomedical Raman spectroscopy.
Article in Journal of biophotonics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Roadmap for light interaction with biophotonic surfaces and their diverse applications.Journal of biomedical optics · 2026Article
- Toward fluorescence digital twins: multi-parameter experimental validation of fluorescence Monte Carlo simulations using solid phantoms.Journal of biomedical optics · 2025Article
- Investigation of Thin Silicone Films on Opaque Solid Surfaces Using Coherent Raman Scattering Imaging.Applied spectroscopy · 2025Article
- AI-boosted and motion-corrected, wireless near-infrared sensing system for continuously monitoring laryngeal muscles.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality.Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy · 2023Article
- Model-based characterization platform of fiber optic extended-wavelength diffuse reflectance spectroscopy for identification of neurovascular bundles.Journal of biomedical optics · 2022Article
- Development of a mobile phone camera-based transcutaneous bilirubinometer for low-resource settings.Biomedical optics express · 2022Article
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3 authors.
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Abstract
Monte Carlo (MC) modeling is a valuable tool to gain fundamental understanding of light-tissue interactions, provide guidance and assessment to optical instrument designs, and help analyze experimental data. It has been a major challenge to efficiently extend MC towards modeling of bulk-tissue Raman spectroscopy (RS) due to the wide spectral range, relatively sharp spectral features, and presence of background autofluorescence. Here, we report a computationally efficient MC approach for RS by adapting the massively-parallel Monte Carlo eXtreme (MCX) simulator. Simulation efficiency is achieved through "isoweight," a novel approach that combines the statistical generation of Raman scattered and Fluorescence emission with a lookup-table-based technique well-suited for parallelization. The MC model uses a graphics processor to produce dense Raman and fluorescence spectra over a range of 800 - 2000 cm
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