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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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