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Holistic Monte-Carlo optical modelling of biological imaging
The invention and advancement of biological microscopy depends critically on an ability to accurately simulate imaging of complex biological structures embedded within complex scattering media. Unfortunately no technique exists for rigorous simulation of the complete imaging process, including the s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825179/ https://www.ncbi.nlm.nih.gov/pubmed/31676825 http://dx.doi.org/10.1038/s41598-019-51850-1 |
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author | Carles, Guillem Zammit, Paul Harvey, Andrew R. |
author_facet | Carles, Guillem Zammit, Paul Harvey, Andrew R. |
author_sort | Carles, Guillem |
collection | PubMed |
description | The invention and advancement of biological microscopy depends critically on an ability to accurately simulate imaging of complex biological structures embedded within complex scattering media. Unfortunately no technique exists for rigorous simulation of the complete imaging process, including the source, instrument, sample and detector. Monte-Carlo modelling is the gold standard for the modelling of light propagation in tissue, but is somewhat laborious to implement and does not incorporate the rejection of scattered light by the microscope. On the other hand microscopes may be rigorously and rapidly modelled using commercial ray-tracing software, but excluding the interaction with the biological sample. We report a hybrid Monte-Carlo optical ray-tracing technique for modelling of complete imaging systems of arbitrary complexity. We make the software available to enable user-friendly and rigorous virtual prototyping of biological microscopy of arbitrary complexity involving light scattering, fluorescence, polarised light propagation, diffraction and coherence. Examples are presented for the modelling and optimisation of representative imaging of neural cells using light-sheet and micro-endoscopic fluorescence microscopy and imaging of retinal vasculature using confocal and non-confocal scanning-laser ophthalmoscopes. |
format | Online Article Text |
id | pubmed-6825179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68251792019-11-12 Holistic Monte-Carlo optical modelling of biological imaging Carles, Guillem Zammit, Paul Harvey, Andrew R. Sci Rep Article The invention and advancement of biological microscopy depends critically on an ability to accurately simulate imaging of complex biological structures embedded within complex scattering media. Unfortunately no technique exists for rigorous simulation of the complete imaging process, including the source, instrument, sample and detector. Monte-Carlo modelling is the gold standard for the modelling of light propagation in tissue, but is somewhat laborious to implement and does not incorporate the rejection of scattered light by the microscope. On the other hand microscopes may be rigorously and rapidly modelled using commercial ray-tracing software, but excluding the interaction with the biological sample. We report a hybrid Monte-Carlo optical ray-tracing technique for modelling of complete imaging systems of arbitrary complexity. We make the software available to enable user-friendly and rigorous virtual prototyping of biological microscopy of arbitrary complexity involving light scattering, fluorescence, polarised light propagation, diffraction and coherence. Examples are presented for the modelling and optimisation of representative imaging of neural cells using light-sheet and micro-endoscopic fluorescence microscopy and imaging of retinal vasculature using confocal and non-confocal scanning-laser ophthalmoscopes. Nature Publishing Group UK 2019-11-01 /pmc/articles/PMC6825179/ /pubmed/31676825 http://dx.doi.org/10.1038/s41598-019-51850-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Carles, Guillem Zammit, Paul Harvey, Andrew R. Holistic Monte-Carlo optical modelling of biological imaging |
title | Holistic Monte-Carlo optical modelling of biological imaging |
title_full | Holistic Monte-Carlo optical modelling of biological imaging |
title_fullStr | Holistic Monte-Carlo optical modelling of biological imaging |
title_full_unstemmed | Holistic Monte-Carlo optical modelling of biological imaging |
title_short | Holistic Monte-Carlo optical modelling of biological imaging |
title_sort | holistic monte-carlo optical modelling of biological imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825179/ https://www.ncbi.nlm.nih.gov/pubmed/31676825 http://dx.doi.org/10.1038/s41598-019-51850-1 |
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