7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Advances in Monte Carlo Simulation for Light Propagation in Tissue

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references97

          • Record: found
          • Abstract: not found
          • Article: not found

          A review of the optical properties of biological tissues

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Modeling the Spatiotemporal Dynamics of Light and Heat Propagation for In Vivo Optogenetics.

            Despite the increasing use of optogenetics in vivo, the effects of direct light exposure to brain tissue are understudied. Of particular concern is the potential for heat induced by prolonged optical stimulation. We demonstrate that high-intensity light, delivered through an optical fiber, is capable of elevating firing rate locally, even in the absence of opsin expression. Predicting the severity and spatial extent of any temperature increase during optogenetic stimulation is therefore of considerable importance. Here, we describe a realistic model that simulates light and heat propagation during optogenetic experiments. We validated the model by comparing predicted and measured temperature changes in vivo. We further demonstrate the utility of this model by comparing predictions for various wavelengths of light and fiber sizes, as well as testing methods for reducing heat effects on neural targets in vivo.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Wide-field optical mapping of neural activity and brain haemodynamics: considerations and novel approaches

              Although modern techniques such as two-photon microscopy can now provide cellular-level three-dimensional imaging of the intact living brain, the speed and fields of view of these techniques remain limited. Conversely, two-dimensional wide-field optical mapping (WFOM), a simpler technique that uses a camera to observe large areas of the exposed cortex under visible light, can detect changes in both neural activity and haemodynamics at very high speeds. Although WFOM may not provide single-neuron or capillary-level resolution, it is an attractive and accessible approach to imaging large areas of the brain in awake, behaving mammals at speeds fast enough to observe widespread neural firing events, as well as their dynamic coupling to haemodynamics. Although such wide-field optical imaging techniques have a long history, the advent of genetically encoded fluorophores that can report neural activity with high sensitivity, as well as modern technologies such as light emitting diodes and sensitive and high-speed digital cameras have driven renewed interest in WFOM. To facilitate the wider adoption and standardization of WFOM approaches for neuroscience and neurovascular coupling research, we provide here an overview of the basic principles of WFOM, considerations for implementation of wide-field fluorescence imaging of neural activity, spectroscopic analysis and interpretation of results. This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
                Bookmark

                Author and article information

                Journal
                IEEE Reviews in Biomedical Engineering
                IEEE Rev. Biomed. Eng.
                Institute of Electrical and Electronics Engineers (IEEE)
                1937-3333
                1941-1189
                2017
                2017
                : 10
                : 122-135
                Article
                10.1109/RBME.2017.2739801
                28816674
                089a74de-a5e3-4512-9e85-750a20349763
                © 2017
                History

                Comments

                Comment on this article