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dc.creatorNedzved, Aleksander
dc.creatorMitrović, Aleksandra Lj.
dc.creatorSavić, Aleksandar G
dc.creatorMutavdžić, Dragosav
dc.creatorSimonović Radosavljević, Jasna
dc.creatorBogdanović Pristov, Jelena
dc.creatorSteinbach, Gabor
dc.creatorGarab, Gyozo
dc.creatorStarovoytov, Valery
dc.creatorRadotić, Ksenija
dc.date.accessioned2022-04-05T15:12:47Z
dc.date.available2022-04-05T15:12:47Z
dc.date.issued2018
dc.identifier.issn0931-1890
dc.identifier.urihttp://rimsi.imsi.bg.ac.rs/handle/123456789/1116
dc.description.abstractMeasurements 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.en
dc.publisherSpringer Heidelberg, Heidelberg
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173017/RS//
dc.relationbilateral project "Structural anisotropy of plant cell walls of various origin and their constituent polymers, using differential-polarized laser scanning microscopy (DP-LSM)", of the Republic of Serbia
dc.relationRepublic of Hungary (IMSI, University of Belgrade, Serbia)
dc.relationRepublic of Hungary (Institute of Plant Biology, Biological Research Center, Hungarian Academy of Sciences, Hungary)
dc.relationbilateral project "Advanced image analysis on micron scale in biology and medicine" of the Republic of Serbia
dc.relationRepublic of Belarus (IMSI, University of Belgrade, Serbia)
dc.relationRepublic of Belarus (United Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Belarus)
dc.relationproject Algain [EE2.3.30.0059]
dc.relationproject Algatech [CZ.1.05/2.1.00/03.0110, GINOP-2.3.2-15-2016-00001]
dc.relationproject Algatech Plus [MSMT LO1416]
dc.rightsrestrictedAccess
dc.sourceTrees-Structure and Function
dc.subjectTracheid double wall thicknessen
dc.subjectPicea omorikaen
dc.subjectImage analysisen
dc.subjectDistance mapen
dc.subjectCompression wooden
dc.titleAutomatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bendingen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage1356
dc.citation.issue5
dc.citation.other32(5): 1347-1356
dc.citation.rankM22
dc.citation.spage1347
dc.citation.volume32
dc.identifier.doi10.1007/s00468-018-1716-x
dc.identifier.scopus2-s2.0-85048362946
dc.identifier.wos000444846000014
dc.type.versionpublishedVersion


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