Forward-adjoint fluorescence model: Monte Carlo integration and experimental validation.

Area of Science:

• Photonics
• Biophysics
• Computational Physics

Background:

• Fluorescence detection is crucial in various scientific fields.
• Traditional methods for analyzing fluorescence detection can be computationally intensive and temporally dependent.

Purpose of the Study:

• To apply the adjoint form of the photon transport equation to a generalized fluorescence detection problem.
• To empirically test the accuracy of the adjoint approach.
• To develop a method that bypasses the normal temporal derivation for fluorescence excitation detection.

Main Methods:

• The adjoint form of the photon transport equation was utilized.
• The temporal flow of fluorescent photons was mathematically reversed, tracking them from detector to origin.
• The adjoint solution was combined with forward-derived distributions of absorbed excitation photons.

Main Results:

• The adjoint approach provides a probability field indicating the relative importance of photon origin.
• Empirical testing confirmed the accuracy of the adjoint method.
• The method successfully bypasses the temporal dependency of fluorescence transport solutions.

Conclusions:

• The adjoint method offers an accurate and efficient alternative for analyzing fluorescence detection schemes.
• This approach simplifies the evaluation of fluorescence excitation detection by reversing photon pathways.
• The findings have implications for improving signal analysis in fluorescence-based applications.