Files in this item
Imaging in thick samples, a phased Monte Carlo radiation transfer algorithm
Item metadata
dc.contributor.author | McMillan, Lewis Thomas | |
dc.contributor.author | Reidt, Sascha | |
dc.contributor.author | McNicol, Cameron | |
dc.contributor.author | Barnard, Isla Rose Mary | |
dc.contributor.author | Macdonald, Michael | |
dc.contributor.author | Brown, C Tom A | |
dc.contributor.author | Wood, Kenny | |
dc.date.accessioned | 2021-09-23T15:30:07Z | |
dc.date.available | 2021-09-23T15:30:07Z | |
dc.date.issued | 2021-09-07 | |
dc.identifier.citation | McMillan , L T , Reidt , S , McNicol , C , Barnard , I R M , Macdonald , M , Brown , C T A & Wood , K 2021 , ' Imaging in thick samples, a phased Monte Carlo radiation transfer algorithm ' , Journal of Biomedical Optics , vol. 26 , no. 9 , 096004 . https://doi.org/10.1117/1.JBO.26.9.096004 | en |
dc.identifier.issn | 1083-3668 | |
dc.identifier.other | PURE: 275539135 | |
dc.identifier.other | PURE UUID: af398e6d-eeaa-4bd3-8979-dc6c6afd01e3 | |
dc.identifier.other | ORCID: /0000-0002-4405-6677/work/100172259 | |
dc.identifier.other | ORCID: /0000-0002-7725-5162/work/100172715 | |
dc.identifier.other | Scopus: 85115961778 | |
dc.identifier.uri | https://hdl.handle.net/10023/24012 | |
dc.description | This work was supported by the EPSRC (Grant No. EP/K503162/1). | en |
dc.description.abstract | Significance : Optical microscopy is characterized 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 three-dimensional 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. Aim : 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. Approach : We show that φMC is capable of modeling interference phenomena such as Gaussian or Bessel beams and compare the model with experiment. Results : 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. Conclusion : 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. | |
dc.format.extent | 14 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Biomedical Optics | en |
dc.rights | Copyright © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.26.9.096004] | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | QH301 Biology | en |
dc.subject | DAS | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | QH301 | en |
dc.title | Imaging in thick samples, a phased Monte Carlo radiation transfer algorithm | en |
dc.type | Journal article | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. School of Physics and Astronomy | en |
dc.contributor.institution | University of St Andrews. Centre for Biophotonics | en |
dc.identifier.doi | https://doi.org/10.1117/1.JBO.26.9.096004 | |
dc.description.status | Peer reviewed | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.