Imaging in thick samples, a phased Monte Carlo radiation transfer algorithm

L. McMillan (Lead / Corresponding author), S. Reidt, C. McNicol, I. R. M. Barnard, M. MacDonald, C. T. A. Brown, K. Wood

Research output: Contribution to journalArticlepeer-review

Abstract

Optical microscopy is characterised by the ability to get high resolution, below 1 µm, high contrast, functional and quantitative images. The use of shaped illumination, such as with lightsheet microscopy, has led to greater 3D isotropic resolution with low phototoxicity. However, in most complex samples and tissues optical imaging is limited by scattering. Many solutions to this issue have been proposed, from using passive approaches such as Bessel Beam illumination to active methods incorporating aberration correction, but making fair comparisons between different approaches has proven to be challenging. Here we present a phase encoded Monte Carlo radiation transfer algorithm (ϕMC) capable of comparing the merits of different illumination strategies or predicting the performance of an individual approach. We show that ϕMC is capable of modelling interference phenomena such as Gaussian or Bessel beams and compare the model with experiment. Using this verified model we show that, for a sample with homogeneously distributed scatterers, there is no inherent advantage to illuminating a sample with a conical wave (Bessel Beam) instead of a spherical wave (Gaussian Beam), except for maintaining a greater depth of focus. ϕMC is adaptable to any illumination geometry, sample property, or beam type (such as fractal or layered scatterer distribution) and as such provides a powerful predictive tool for optical imaging in thick samples.
Original languageEnglish
Article number096004
Number of pages14
JournalJournal of Biomedical Optics
Volume26
Issue number9
Early online date7 Sep 2021
DOIs
Publication statusPublished - Sep 2021

Keywords

  • Monte Carlo methods
  • Bessel
  • Scattering
  • Phase
  • Photons
  • Light scattering

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