Please use this identifier to cite or link to this item: /library/oar/handle/123456789/127383
Title: Holistic Monte-Carlo optical modelling of biological imaging
Authors: Carles, Guillem
Zammit, Paul
Harvey, Andrew R.
Keywords: Imaging systems
Intrinsic optical imaging
Optics
Microscopy -- Data processing
Issue Date: 2019
Publisher: Nature Publishing Group UK
Citation: Carles, G., Zammit, P., & Harvey, A. R. (2019). Holistic Monte-Carlo optical modelling of biological imaging. Scientific reports, 9(1), 15832.
Abstract: 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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/127383
Appears in Collections:Scholarly Works - FacEngESE

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