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      Repeated imaging through a multimode optical fiber using adaptive optics

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          Abstract

          Multimode optical fibers (MMF) have shown considerable potential for minimally invasive diffraction-limited fluorescence imaging of deep brain regions owing to their small size. They also look to be suitable for imaging across long time periods, with repeated measurements performed within the same brain region, which is useful to assess the role of synapses in normal brain function and neurological disease. However, the approach is not without challenge. Prior to imaging, light propagation through a MMF must be characterized in a calibration procedure. Manual repositioning, as required for repeated imaging, renders this calibration invalid. In this study, we provide a two-step solution to the problem consisting of (1) a custom headplate enabling precise reinsertion of the MMF implant achieving low-quality focusing and (2) sensorless adaptive optics to correct translational shifts in the MMF position enabling generation of high-quality imaging foci. We show that this approach achieves fluorescence imaging after repeated removal and reinsertion of a MMF.

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          Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice

          The ice arches that usually develop at the northern and southern ends of Nares Strait play an important role in modulating the export of Arctic Ocean multi-year sea ice. The Arctic Ocean is evolving towards an ice pack that is younger, thinner, and more mobile and the fate of its multi-year ice is becoming of increasing interest. Here, we use sea ice motion retrievals from Sentinel-1 imagery to report on the recent behavior of these ice arches and the associated ice fluxes. We show that the duration of arch formation has decreased over the past 20 years, while the ice area and volume fluxes along Nares Strait have both increased. These results suggest that a transition is underway towards a state where the formation of these arches will become atypical with a concomitant increase in the export of multi-year ice accelerating the transition towards a younger and thinner Arctic ice pack.
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            Synaptic plasticity and memory: an evaluation of the hypothesis.

            Changing the strength of connections between neurons is widely assumed to be the mechanism by which memory traces are encoded and stored in the central nervous system. In its most general form, the synaptic plasticity and memory hypothesis states that "activity-dependent synaptic plasticity is induced at appropriate synapses during memory formation and is both necessary and sufficient for the information storage underlying the type of memory mediated by the brain area in which that plasticity is observed." We outline a set of criteria by which this hypothesis can be judged and describe a range of experimental strategies used to investigate it. We review both classical and newly discovered properties of synaptic plasticity and stress the importance of the neural architecture and synaptic learning rules of the network in which it is embedded. The greater part of the article focuses on types of memory mediated by the hippocampus, amygdala, and cortex. We conclude that a wealth of data supports the notion that synaptic plasticity is necessary for learning and memory, but that little data currently supports the notion of sufficiency.
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              In vivo three-photon microscopy of subcortical structures within an intact mouse brain

              Two-photon fluorescence microscopy (2PM) 1 enables scientists in various fields including neuroscience 2,3 , embryology 4 , and oncology 5 to visualize in vivo and ex vivo tissue morphology and physiology at a cellular level deep within scattering tissue. However, tissue scattering limits the maximum imaging depth of 2PM within the mouse brain to the cortical layer, and imaging subcortical structures currently requires the removal of overlying brain tissue 3 or the insertion of optical probes 6,7 . Here we demonstrate non-invasive, high resolution, in vivo imaging of subcortical structures within an intact mouse brain using three-photon fluorescence microscopy (3PM) at a spectral excitation window of 1,700 nm. Vascular structures as well as red fluorescent protein (RFP)-labeled neurons within the mouse hippocampus are imaged. The combination of the long excitation wavelength and the higher order nonlinear excitation overcomes the limitations of 2PM, enabling biological investigations to take place at greater depth within tissue.
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                Author and article information

                Journal
                Biomed Opt Express
                Biomed Opt Express
                BOE
                Biomedical Optics Express
                Optica Publishing Group
                2156-7085
                10 January 2022
                01 February 2022
                : 13
                : 2
                : 662-675
                Affiliations
                [1 ]Department of Pharmacology, University of Oxford , Mansfield Road, Oxford OX1 3QT, United Kingdom
                [2 ]Tech4Health Institute , NYU Langone Health, New York, NY 10010, USA
                [3 ]Department of Engineering Science, University of Oxford, Parks Road , Oxford OX1 3PJ, United Kingdom
                [4 ]These authors contributed equally
                Author notes
                Author information
                https://orcid.org/0000-0002-2257-4190
                https://orcid.org/0000-0002-9525-8981
                Article
                448277
                10.1364/BOE.448277
                8884233
                35284159
                feeded4b-8397-4b7d-8dfb-3be472b8188e
                Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

                https://creativecommons.org/licenses/by/4.0/

                History
                : 10 November 2021
                : 20 December 2021
                : 21 December 2021
                Funding
                Funded by: European Research Council 10.13039/501100000781
                Award ID: 695140
                Funded by: Engineering and Physical Sciences Research Council 10.13039/501100000266
                Award ID: D4D00010.DF36.01
                Categories
                Article

                Vision sciences
                Vision sciences

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