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Accelerated Monte Carlo models to simulate fluorescence spectra from layered tissues
Johannes Swartling1, Antonio Pifferi, Annika M K Enejder
1Lund University Medical Laser Centre, Department of Physics, Lund Institute of Technology, PO Box 118, SE-221 00 Lund, Sweden. johannes.swartling@fysik.lth.se
Summary
Two new Monte Carlo models significantly accelerate fluorescence spectrum prediction. These models offer substantial improvements in simulation time for light-scattering and absorbing media, crucial for accurate spectral analysis.
Area of Science:
- Biophysics
- Computational Physics
- Optical Engineering
Background:
- Accurate prediction of time-resolved fluorescence spectra is essential for understanding light-matter interactions in biological and material sciences.
- Conventional Monte Carlo (MC) models for fluorescence simulation can be computationally intensive, limiting their application for complex media.
- Developing efficient simulation techniques is critical for advancing fields reliant on fluorescence spectroscopy.
Purpose of the Study:
- To introduce and evaluate two novel, efficient Monte Carlo models for predicting time-resolved fluorescence spectra.
- To compare the performance of these accelerated models against a conventional fluorescence MC model regarding accuracy, signal-to-noise ratio, and computational time.
- To explore the applicability of a 'white Monte Carlo' approach for efficient simulations across a wide range of emission wavelengths.
Main Methods:
- Development of two accelerated Monte Carlo models utilizing convolution techniques and the reciprocity principle for photon paths.
- Comparison of simulation results (accuracy, signal-to-noise, time) with a standard fluorescence Monte Carlo model.
- Implementation of a 'white Monte Carlo' approach for simulating fluorescence in scattering media with analytical post-processing for absorption.
Main Results:
- The accelerated Monte Carlo models achieve significant improvements in computational efficiency, reducing simulation time by up to two orders of magnitude.
- Both accelerated models and the conventional model yield comparable absolute fluorescence values when integrated over time and surface area.
- A slight overestimation in time- and spatially-resolved fluorescence at short delay times was observed for accelerated models due to discretization and convolution.
Conclusions:
- The developed accelerated Monte Carlo models provide a computationally efficient and accurate method for simulating time-resolved fluorescence spectra.
- The reciprocity principle and convolution techniques are effective strategies for enhancing the performance of fluorescence MC simulations.
- The 'white Monte Carlo' approach offers a flexible method for simulating fluorescence across broad emission spectra, applicable to various MC models.