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      Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model

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      PLoS ONE
      Public Library of Science

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          Abstract

          We present a finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT). The OCT output signal is created using two different simulations for the reference and sample arms, with a successive computation of the interference signal with external software. In this paper we present the model applied to two different samples: a glass rod filled with water-sucrose solution at different concentrations and a peripheral nerve. This work aims to understand to what extent time domain OCT can be used for non-invasive, direct optical monitoring of peripheral nerve activity.

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          Most cited references26

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          Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media

          Kane Yee (1966)
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            Optical coherence tomography.

            A technique called optical coherence tomography (OCT) has been developed for noninvasive cross-sectional imaging in biological systems. OCT uses low-coherence interferometry to produce a two-dimensional image of optical scattering from internal tissue microstructures in a way that is analogous to ultrasonic pulse-echo imaging. OCT has longitudinal and lateral spatial resolutions of a few micrometers and can detect reflected signals as small as approximately 10(-10) of the incident optical power. Tomographic imaging is demonstrated in vitro in the peripapillary area of the retina and in the coronary artery, two clinically relevant examples that are representative of transparent and turbid media, respectively.
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              Optical Constants of Water in the 200-nm to 200-microm Wavelength Region.

              Extinction coefficients k(lambda) for water at 25 degrees C were determined through a broad spectral region by manually smoothing a point by point graph of k(lambda) vs wavelength lambda that was plotted for data obtained from a review of the scientific literature on the optical constants of water. Absorption bands representing k(lambda) were postulated where data were not available in the vacuum uv and soft x-ray regions. A subtractive Kramers-Kronig analysis of the combined postulated and smoothed portions of the k(lambda) spectrum provided the index of refraction n(lambda) for the spectral region 200 nm
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Supervision
                Role: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2018
                10 July 2018
                : 13
                : 7
                : e0200392
                Affiliations
                [001] Centre for Bio-Inspired Technology, Imperial College London, London, United Kingdom
                Bascom Palmer Eye Institute, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-4260-6054
                Article
                PONE-D-18-07169
                10.1371/journal.pone.0200392
                6039043
                29990346
                35b2768d-2c41-4a5d-8629-72c65cfc70e7
                © 2018 Troiani et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 March 2018
                : 24 June 2018
                Page count
                Figures: 9, Tables: 2, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                This work has been funded by the Engineering and Physical Sciences Research Council (award reference 1507059). The founders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Chemical Characterization
                Optical Analysis
                Refractive Index
                Research and Analysis Methods
                Simulation and Modeling
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Tomography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Tomography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Tomography
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Neurons
                Nerve Fibers
                Biology and Life Sciences
                Neuroscience
                Cellular Neuroscience
                Neurons
                Nerve Fibers
                Biology and Life Sciences
                Anatomy
                Nervous System
                Nerves
                Medicine and Health Sciences
                Anatomy
                Nervous System
                Nerves
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Neurons
                Nerve Fibers
                Axons
                Biology and Life Sciences
                Neuroscience
                Cellular Neuroscience
                Neurons
                Nerve Fibers
                Axons
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Mathematical Functions
                Time Domain Analysis
                Biology and Life Sciences
                Anatomy
                Nervous System
                Nerves
                Sciatic Nerves
                Medicine and Health Sciences
                Anatomy
                Nervous System
                Nerves
                Sciatic Nerves
                Custom metadata
                Data are available at https://github.com/FTroiani/2D-FDTD-OCT.

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                Uncategorized

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