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Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F18%3A00496720" target="_blank" >RIV/61388971:_____/18:00496720 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s00468-018-1716-x" target="_blank" >http://dx.doi.org/10.1007/s00468-018-1716-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00468-018-1716-x" target="_blank" >10.1007/s00468-018-1716-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending

  • Original language description

    Measurements of various anatomical characteristics of wood cells are of great importance in research of wood structure, either for the evaluation of environmental influences or for estimation of wood quality. We present and test an automatic image processing morphometric method for the analysis of tracheid double wall thickness. A new algorithm of image analysis was developed. It uses morphological processing of structural elements with the different orientations from distance maps to analyze tracheid double wall thickness distribution separately for radial walls, tangential walls, and cell corners. For testing the performance of the method, we used confocal laser scanning microscopy images of stem cross-sections of juvenile Picea omorika trees exposed to long-term static bending. As a response to mechanical stress, conifers form compression wood (CW), which occurs in a range of gradations from near normal wood (NW) to severe CW. However, visual detection of compression wood severity, more precisely the determination of mild CW, is difficult. One of the anatomic features that characterize CW is increased wall thickness. After testing proposed automatic image processing morphometric method for the analysis of tracheid double wall thickness separately for radial walls, tangential walls and cell corners, combined with statistical analysis, we could suggest it as a tool for estimation of compression wood severity, or for estimation and gradation of changes in tracheid cell wall thickness as a response to environmental influences during growth and developmental process.

  • 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

    10611 - Plant sciences, botany

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Trees: structure and function

  • ISSN

    0931-1890

  • e-ISSN

  • Volume of the periodical

    32

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    10

  • Pages from-to

    1347-1356

  • UT code for WoS article

    000444846000014

  • EID of the result in the Scopus database

    2-s2.0-85048362946