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Optical Data Processing and Storage

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Advances in Fibre Microendoscopy for Neuronal Imaging

Simon Peter Mekhail
  • Corresponding author
  • Light-Matter Interactions Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Gordon Arbuthnott
  • Corresponding author
  • Brain Mechanisms for Behaviour Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Síle Nic Chormaic
  • Corresponding author
  • Light-Matter Interactions Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2016-11-22 | DOI: https://doi.org/10.1515/odps-2016-0003

Abstract

Traditionally, models for neural dynamics in the brain have been formed through research conducted on slices, with electrodes, or by lesions to functional areas. Recent developments in functional dyes and optogenetics has made brain research more accessible through the use of light. However, this improved accessibility does not necessarily apply to deep regions of the brain which are surrounded by scattering tissue. In this article we give an overview of some of the latest methods in development for neural measurement and imaging.We specifically address methods designed to overcome the problem of imaging invivo for regions far beyond the mean free path of photons in brain tissue. These methodswould permit previously restricted neural research.

Keywords: in-vivo; scattering media; image reconstruction; phase correction

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About the article

Received: 2016-07-14

Accepted: 2016-10-31

Published Online: 2016-11-22


Citation Information: Optical Data Processing and Storage, Volume 2, Issue 1, ISSN (Online) 2084-8862, DOI: https://doi.org/10.1515/odps-2016-0003.

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© 2016 Simon Peter Mekhail et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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Bioscience Reports, 2018, Volume 38, Number 1, Page BSR20170027

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