Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending
Само за регистроване кориснике
2018
Аутори
Nedzved, AleksanderMitrović, Aleksandra Lj.
Savić, Aleksandar G
Mutavdžić, Dragosav
Simonović Radosavljević, Jasna
Bogdanović Pristov, Jelena
Steinbach, Gabor
Garab, Gyozo
Starovoytov, Valery
Radotić, Ksenija
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
Tracheid double wall thickness / Picea omorika / Image analysis / Distance map / Compression woodИзвор:
Trees-Structure and Function, 2018, 32, 5, 1347-1356Издавач:
- Springer Heidelberg, Heidelberg
Финансирање / пројекти:
- Испитивања односа структура-функција у ћелијском зиду биљака и измене структуре зида ензимским инжењерингом (RS-MESTD-Basic Research (BR or ON)-173017)
- bilateral 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
- Republic of Hungary (IMSI, University of Belgrade, Serbia)
- Republic of Hungary (Institute of Plant Biology, Biological Research Center, Hungarian Academy of Sciences, Hungary)
- bilateral project "Advanced image analysis on micron scale in biology and medicine" of the Republic of Serbia
- Republic of Belarus (IMSI, University of Belgrade, Serbia)
- Republic of Belarus (United Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Belarus)
- project Algain [EE2.3.30.0059]
- project Algatech [CZ.1.05/2.1.00/03.0110, GINOP-2.3.2-15-2016-00001]
- project Algatech Plus [MSMT LO1416]
DOI: 10.1007/s00468-018-1716-x
ISSN: 0931-1890
WoS: 000444846000014
Scopus: 2-s2.0-85048362946
Институција/група
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Nedzved, Aleksander AU - Mitrović, Aleksandra Lj. AU - Savić, Aleksandar G AU - Mutavdžić, Dragosav AU - Simonović Radosavljević, Jasna AU - Bogdanović Pristov, Jelena AU - Steinbach, Gabor AU - Garab, Gyozo AU - Starovoytov, Valery AU - Radotić, Ksenija PY - 2018 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/1116 AB - 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. PB - Springer Heidelberg, Heidelberg T2 - Trees-Structure and Function T1 - Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending EP - 1356 IS - 5 SP - 1347 VL - 32 DO - 10.1007/s00468-018-1716-x ER -
@article{ author = "Nedzved, Aleksander and Mitrović, Aleksandra Lj. and Savić, Aleksandar G and Mutavdžić, Dragosav and Simonović Radosavljević, Jasna and Bogdanović Pristov, Jelena and Steinbach, Gabor and Garab, Gyozo and Starovoytov, Valery and Radotić, Ksenija", year = "2018", abstract = "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.", publisher = "Springer Heidelberg, Heidelberg", journal = "Trees-Structure and Function", title = "Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending", pages = "1356-1347", number = "5", volume = "32", doi = "10.1007/s00468-018-1716-x" }
Nedzved, A., Mitrović, A. Lj., Savić, A. G., Mutavdžić, D., Simonović Radosavljević, J., Bogdanović Pristov, J., Steinbach, G., Garab, G., Starovoytov, V.,& Radotić, K.. (2018). Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending. in Trees-Structure and Function Springer Heidelberg, Heidelberg., 32(5), 1347-1356. https://doi.org/10.1007/s00468-018-1716-x
Nedzved A, Mitrović AL, Savić AG, Mutavdžić D, Simonović Radosavljević J, Bogdanović Pristov J, Steinbach G, Garab G, Starovoytov V, Radotić K. Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending. in Trees-Structure and Function. 2018;32(5):1347-1356. doi:10.1007/s00468-018-1716-x .
Nedzved, Aleksander, Mitrović, Aleksandra Lj., Savić, Aleksandar G, Mutavdžić, Dragosav, Simonović Radosavljević, Jasna, Bogdanović Pristov, Jelena, Steinbach, Gabor, Garab, Gyozo, Starovoytov, Valery, Radotić, Ksenija, "Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending" in Trees-Structure and Function, 32, no. 5 (2018):1347-1356, https://doi.org/10.1007/s00468-018-1716-x . .