. . . "image analysis; segmentation; deconvolution; length density; correlation function; anisotropy"@en . "C\u00EDlem je stanoven\u00ED prostorov\u00E9 hustoty d\u00E9lky a charakterizace prostorov\u00E9ho uspo\u0159\u00E1d\u00E1n\u00ED krevn\u00EDch vl\u00E1se\u010Dnic v mozku ze s\u00E9ri\u00ED sn\u00EDmk\u016F optick\u00FDch \u0159ez\u016F po\u0159\u00EDzen\u00FDch laserov\u00FDm rastrovac\u00EDm konfok\u00E1ln\u00EDm mikroskopem. Sn\u00EDmky budou podle pot\u0159eby zv\u00FDrazn\u011Bny dekonvoluc\u00ED, slo\u017Eeny horizont\u00E1ln\u011B nebo vertik\u00E1ln\u011B ze zorn\u00FDch pol\u00ED. Bude vyvinuto n\u011Bkolik metod detekce vl\u00E1se\u010Dnic, d\u00E9lka vl\u00E1se\u010Dnic bude automaticky zm\u011B\u0159ena a v\u00FDsledky budou porovn\u00E1ny se sou\u010Dasn\u00FDmi interaktivn\u00EDmi metodami m\u011B\u0159en\u00ED d\u00E9lky. Pro detekci budou pou\u017Eity metody prahov\u00E1n\u00ED zv\u00FDrazn\u011Bn\u00E9ho obrazu, hled\u00E1n\u00ED minim\u00E1ln\u00EDch cest a pravd\u011Bpodobnostn\u00ED metody s Markovsk\u00FDmi n\u00E1hodn\u00FDmi poli vektor\u016F. Prostorov\u00E9 uspo\u0159\u00E1d\u00E1n\u00ED bude charakterizov\u00E1no topologi\u00ED vl\u00E1se\u010Dnic, korela\u010Dn\u00EDmi funkcemi, rozd\u011Blen\u00EDm vzd\u00E1lenost\u00ED od vl\u00E1se\u010Dnic a rozd\u011Blen\u00EDm sm\u011Br\u016F vl\u00E1se\u010Dnic." . "http://www.isvav.cz/projectDetail.do?rowId=IAA100110502"^^ . "Methods of detection and measurement of length, anisotropy, tortuosity and connectivity of fibre like biological structures were developed. Variance of estimates of volume, surface area and length using intersections with spatial grids was calculated."@en . . . . "2009-12-31+01:00"^^ . . " correlation function" . . . . . . " length density" . " deconvolution" . "2009-04-28+02:00"^^ . "The aim of the project is quantitave evaluation of length density and spatial arrangement of brain microvessels from stacks of optical sections captured by a laser scanning confocal microscope. We will use image enhancement by deconvolution, horizontal and vertical image composition of adjacent fields of view. We will develop and test several methods for capillary detection, measure the length automatically and compare the results with state of art interactive techniques of length measurement. The detection methods will include use of top-hat filters, path extraction methods by minimal path and probabilistic methods using Markov random fields of directions. Spatial arrangement will be characterized by topology, correlation functions, sphere contact distribution function and rose of directions of microvessels."@en . . . "0"^^ . "image analysis" . "IAA100110502" . "2010-06-08+02:00"^^ . "2"^^ . . . "1"^^ . . "56"^^ . . "56"^^ . " segmentation" . "2005-01-01+01:00"^^ . . "Spatial statistics of 3D confocal images of capillary network"@en . "Byly vyvinuty origin\u00E1ln\u00ED postupy detekce a m\u011B\u0159en\u00ED d\u00E9lky, anizotropie, tortuozity a konektivity vl\u00E1knit\u00FDch biologick\u00FDch struktur. Byly odvozeny v\u00FDsledky t\u00FDkaj\u00EDc\u00ED se variance odhadu objemu, povrchu a d\u00E9lky z pr\u016Fse\u010D\u00EDk\u016F objektu s prostorovou m\u0159\u00ED\u017E\u00ED."@cs . "Prostorov\u00E1 statistika 3D konfok\u00E1ln\u00EDch sn\u00EDmk\u016F krevn\u00EDch vl\u00E1se\u010Dnic" .