Budimir, Snežana

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  • Budimir, Snežana (2)
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Author's Bibliography

Higuchi’s fractal dimension in plant histology

Mitrović, Aleksandra Lj.; Janošević, Dušica; Budimir, Snežana; Radotić, Ksenija; Donaldson, Lloyd; Spasić, Slađana

(Serbian Plant Physiology Society Institute for Biological Research “Siniša Stanković”, University of Belgrade Faculty of Biology, University of Belgrade, 2018)

TY  - CONF
AU  - Mitrović, Aleksandra Lj.
AU  - Janošević, Dušica
AU  - Budimir, Snežana
AU  - Radotić, Ksenija
AU  - Donaldson, Lloyd
AU  - Spasić, Slađana
PY  - 2018
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/1821
AB  - Fractals are self-similar patterns, from exactly the same to nearly the same, and hence they are
common in Nature. Fractal analysis of digital images or signals already has the application in the
assessment of properties of tumors, viral infections, blood vessels, neurons, EEG signals, heart rate
variability, etc. In different fields of science, especially in botany, application of different fractal
methods is necessary to obtain a complete picture of structures or processes.
We suggest a new method for 2D Higuchi’s fractal dimension estimation for use in plant analytical microscopy. To present its performance, we used two different sets of digital microscopic
images: light microscopy micrographs collected during Tacitus bellus direct shoot organogenesis
from leaf explants in vitro, and confocal laser scanning microscopy images of stem cross sections
of juvenile Picea omorika trees exposed to static bending stress. Estimated Higuchi’s fractal dimension of presented sets of micrographs enables quantification, separation and alignment of subsequent morphogenic stages of shoot organogenesis on the time scale, i.e. quantitative gradation of
structural changes of wood cell properties on a compression severity scale, respectively.
Suggested fractal analysis method, combined with statistical analysis, could be used for quantification of structure complexity that characterizes cells and tissues during different growth and
developmental processes or stress related structural changes in plants, as well as for the evaluation of the synchronization of those processes. It allows fast computational analysis of micrographs and is independent of the type of microscopy used.
PB  - Serbian Plant Physiology Society Institute for Biological Research “Siniša Stanković”, University of Belgrade Faculty of Biology, University of Belgrade
C3  - 3rd International Conference on Plant Biology (22nd SPPS Meeting)
T1  - Higuchi’s fractal dimension in plant histology
SP  - 20
UR  - https://hdl.handle.net/21.15107/rcub_rimsi_1821
ER  - 
@conference{
author = "Mitrović, Aleksandra Lj. and Janošević, Dušica and Budimir, Snežana and Radotić, Ksenija and Donaldson, Lloyd and Spasić, Slađana",
year = "2018",
abstract = "Fractals are self-similar patterns, from exactly the same to nearly the same, and hence they are
common in Nature. Fractal analysis of digital images or signals already has the application in the
assessment of properties of tumors, viral infections, blood vessels, neurons, EEG signals, heart rate
variability, etc. In different fields of science, especially in botany, application of different fractal
methods is necessary to obtain a complete picture of structures or processes.
We suggest a new method for 2D Higuchi’s fractal dimension estimation for use in plant analytical microscopy. To present its performance, we used two different sets of digital microscopic
images: light microscopy micrographs collected during Tacitus bellus direct shoot organogenesis
from leaf explants in vitro, and confocal laser scanning microscopy images of stem cross sections
of juvenile Picea omorika trees exposed to static bending stress. Estimated Higuchi’s fractal dimension of presented sets of micrographs enables quantification, separation and alignment of subsequent morphogenic stages of shoot organogenesis on the time scale, i.e. quantitative gradation of
structural changes of wood cell properties on a compression severity scale, respectively.
Suggested fractal analysis method, combined with statistical analysis, could be used for quantification of structure complexity that characterizes cells and tissues during different growth and
developmental processes or stress related structural changes in plants, as well as for the evaluation of the synchronization of those processes. It allows fast computational analysis of micrographs and is independent of the type of microscopy used.",
publisher = "Serbian Plant Physiology Society Institute for Biological Research “Siniša Stanković”, University of Belgrade Faculty of Biology, University of Belgrade",
journal = "3rd International Conference on Plant Biology (22nd SPPS Meeting)",
title = "Higuchi’s fractal dimension in plant histology",
pages = "20",
url = "https://hdl.handle.net/21.15107/rcub_rimsi_1821"
}
Mitrović, A. Lj., Janošević, D., Budimir, S., Radotić, K., Donaldson, L.,& Spasić, S.. (2018). Higuchi’s fractal dimension in plant histology. in 3rd International Conference on Plant Biology (22nd SPPS Meeting)
Serbian Plant Physiology Society Institute for Biological Research “Siniša Stanković”, University of Belgrade Faculty of Biology, University of Belgrade., 20.
https://hdl.handle.net/21.15107/rcub_rimsi_1821
Mitrović AL, Janošević D, Budimir S, Radotić K, Donaldson L, Spasić S. Higuchi’s fractal dimension in plant histology. in 3rd International Conference on Plant Biology (22nd SPPS Meeting). 2018;:20.
https://hdl.handle.net/21.15107/rcub_rimsi_1821 .
Mitrović, Aleksandra Lj., Janošević, Dušica, Budimir, Snežana, Radotić, Ksenija, Donaldson, Lloyd, Spasić, Slađana, "Higuchi’s fractal dimension in plant histology" in 3rd International Conference on Plant Biology (22nd SPPS Meeting) (2018):20,
https://hdl.handle.net/21.15107/rcub_rimsi_1821 .

2D fractal analysis in plant analytical morphology and microscopy

Spasić, Slađana; Mitrović, Aleksandra Lj.; Janošević, Dušica; Budimir, Snežana

(2016)

TY  - CONF
AU  - Spasić, Slađana
AU  - Mitrović, Aleksandra Lj.
AU  - Janošević, Dušica
AU  - Budimir, Snežana
PY  - 2016
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/2401
C3  - Book of abstracts: 12 th Symposium on the Flora of Southeastern Serbia and Neighboring Regions Kopaonik Mt., Kopaonik Serbia
T1  - 2D fractal analysis in plant analytical morphology and microscopy
UR  - https://hdl.handle.net/21.15107/rcub_rimsi_2401
ER  - 
@conference{
author = "Spasić, Slađana and Mitrović, Aleksandra Lj. and Janošević, Dušica and Budimir, Snežana",
year = "2016",
journal = "Book of abstracts: 12 th Symposium on the Flora of Southeastern Serbia and Neighboring Regions Kopaonik Mt., Kopaonik Serbia",
title = "2D fractal analysis in plant analytical morphology and microscopy",
url = "https://hdl.handle.net/21.15107/rcub_rimsi_2401"
}
Spasić, S., Mitrović, A. Lj., Janošević, D.,& Budimir, S.. (2016). 2D fractal analysis in plant analytical morphology and microscopy. in Book of abstracts: 12 th Symposium on the Flora of Southeastern Serbia and Neighboring Regions Kopaonik Mt., Kopaonik Serbia.
https://hdl.handle.net/21.15107/rcub_rimsi_2401
Spasić S, Mitrović AL, Janošević D, Budimir S. 2D fractal analysis in plant analytical morphology and microscopy. in Book of abstracts: 12 th Symposium on the Flora of Southeastern Serbia and Neighboring Regions Kopaonik Mt., Kopaonik Serbia. 2016;.
https://hdl.handle.net/21.15107/rcub_rimsi_2401 .
Spasić, Slađana, Mitrović, Aleksandra Lj., Janošević, Dušica, Budimir, Snežana, "2D fractal analysis in plant analytical morphology and microscopy" in Book of abstracts: 12 th Symposium on the Flora of Southeastern Serbia and Neighboring Regions Kopaonik Mt., Kopaonik Serbia (2016),
https://hdl.handle.net/21.15107/rcub_rimsi_2401 .