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How to asses, visualize and compare the anisotropy of linear structures reconstructed from optical sections ? A study based on histopathological quantification of human brain microvessels

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    SYSNO ASEP0365082
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleHow to asses, visualize and compare the anisotropy of linear structures reconstructed from optical sections ? A study based on histopathological quantification of human brain microvessels
    Author(s) Kochová, P. (CZ)
    Cimrman, R. (CZ)
    Janáček, Jiří (FGU-C) RID, ORCID
    Witter, K. (AT)
    Tonar, Z. (CZ)
    Source TitleJournal of Theoretical Biology. - : Elsevier - ISSN 0022-5193
    Roč. 286, - (2011), s. 67-78
    Number of pages12 s.
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsrose of directions ; preferential directions ; chi-square test ; length density ; python
    Subject RIVEA - Cell Biology
    CEZAV0Z50110509 - FGU-C (2005-2011)
    UT WOS000294975800008
    DOI10.1016/j.jtbi.2011.07.004
    AnnotationIn our study, we present a novel p(chi2) (chi-square) method for evaluating the anisotropy of line systems that involves comparing the observed length densities of lines with the discrete uniform distribution of an isotropic line system with the chi2-test. Using this method in our open source software, we determined the rose of directions, preferential directions and level of anisotropy of linear systems representing the microscopic blood vessels in samples of various regions from human brains (cortex, subcortical gray matter and white matter). The novel method was compared with two other methods used for anisotropy quantification (ellipsoidal and fractional anisotropy). All three methods detected different levels of anisotropy of blood microvessels in human brain. The microvascular bed in the cortex was closer to an isotropic network, while the microvessels supplying the white matter appeared to be an anisotropic and direction-sensitive system
    WorkplaceInstitute of Physiology
    ContactLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Year of Publishing2012
Number of the records: 1  

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