Full metadata record
DC FieldValueLanguage
dc.contributor.authorKochová, Petra
dc.contributor.authorCimrman, Robert
dc.contributor.authorJanáček, Jiří
dc.contributor.authorWitter, Kirsti
dc.contributor.authorTonar, Zbyněk
dc.identifier.citationJournal of theoretical biology. 2011, vol. 286, p. 67-78 [citation of original article].en
dc.identifier.issn1095-8541 (electronic version)
dc.identifier.issn0022-5193 (print version)
dc.description.abstractThree-dimensional analyses of the spatial arrangement, spatial orientation and preferential directions of systems of fibers are frequent tasks in many scientific fields, including the textile industry, plant biology and tissue modeling. Inbiology,systems of oriented and branching lines are often used to represent the three-dimensional directionality and topologyofmicroscopic blood vessels supplying various organs. Inourstudy,we present a novel p(w2) (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 anisotropic line system with the w2-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 themicroscopic bloodvessels in sample sofvarious 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 differentlevels of anisotropy of blood microvessels in human brain. Themicrovascular bed inthecortex was closer to anisotropic network, while themicrovessels supplying the white matter appeared to be ananisotropic and direction-sensitive system. All three methods were able to determine the differences between various brain regions. The advantage of our p(w2) methodisits high correlation with the number of preferential directions of the line system. However,the software, named esofspy,is able to calculate all three of the measures of anisotropy compared and documented in this paper, thus making the methods freely available to the scientific community.en
dc.format14 s.cs
dc.relation.ispartofseriesJournal of theoretical biologyen
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Theoretical Biology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Theoretical Biology, [VOL 286, ISSUE 67-78,2011]en
dc.rights© 2011 Elsevier Ltd. All rights reserved.en
dc.subjectaplikovaná mechanikacs
dc.subjectměřicí softwarecs
dc.titleHow to asses, visualize and compare the anisotropy of linear structures reconstructed from optical sections?: a study based on histopathological quantification of human brain microvesselsen
dc.subject.translatedapplied mechanicsen
dc.subject.translatedmeasuring sofwareen
Appears in Collections:Postprinty / Postprints (MMI)
Postprinty / Postprints (CTM)

Files in This Item:
File Description SizeFormat 
jtb_corrected.pdf6 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/1768

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.