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Tissue clearing and its applications in neuroscience

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10245448" target="_blank" >RIV/61989100:27740/20:10245448 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1038/s41583-019-0250-1" target="_blank" >https://doi.org/10.1038/s41583-019-0250-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41583-019-0250-1" target="_blank" >10.1038/s41583-019-0250-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tissue clearing and its applications in neuroscience

  • Original language description

    State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact tissues from individual organs and even to some entire mammals. When combined with light-sheet microscopy and automated approaches to image analysis, existing tissue-clearing methods can speed up and may reduce the cost of conventional histology by several orders of magnitude. In addition, tissue-clearing chemistry allows whole-organ antibody labelling, which can be applied even to thick human tissues. By combining the most powerful labelling, clearing, imaging and data-analysis tools, scientists are extracting structural and functional cellular and subcellular information on complex mammalian bodies and large human specimens at an accelerated pace. The rapid generation of terabyte-scale imaging data furthermore creates a high demand for efficient computational approaches that tackle challenges in large-scale data analysis and management. In this Review, we discuss how tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens and discuss future opportunities for the use of these methods in human neuroscience. (C) 2020, Springer Nature Limited.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    <a href="/en/project/EF16_013%2F0001791" target="_blank" >EF16_013/0001791: IT4Innovations national supercomputing center - path to exascale</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Nature Reviews Neuroscience

  • ISSN

    1471-003X

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    61-79

  • UT code for WoS article

    000527968500009

  • EID of the result in the Scopus database

    2-s2.0-85077526331