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3D vizualizace velkých biologických vzorků nasnímaných konfokálním mikroskopem
Čapek, Martin ; Janáček, Jiří ; Karen, Petr ; Kubínová, Lucie ; Smrčka, P. ; Hána, K.
Digital volume reconstruction is a technique for rendering and visualization of a biological specimen which is greater than the field of view of a used optical instrument - a confocal laser scanning microscope in our case. Prior to the volume reconstruction, large biological specimens are cut to thin physical slices. The first step of volume reconstruction is acquisition of sets of digital volume images (spatial tiles which overlap) from all studied physical slices. The second step is composition of neighbouring spatial tiles of the same physical slice. The third reconstruction step is registration and merging of digital volumes of neighbouring physical slices of the specimen. The resulting large digital volumes are rendered and visualized using a VolumePro hardware board that offers real-time 3D volume rendering. In this paper we show a reconstruction of a chick embryonic kidney
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Stereologická metoda pro odhad povrchu tylakoidů chloroplastu
Kubínová, Lucie ; Kutík, J.
The stereological method using “local vertical windows” applied to the estimation of thylakoid surface area in the chloroplast volume, based on evaluation of chloroplast electron micrographs is presented. The method is demonstrated on the study of chloroplast ultrastructure in the leaves of plants of CE704 maize (Zea mays L.) line, developing in control and chilling conditions
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Obrazová analýza řezů pórovitého materiálu
Hejtmánek, Vladimír ; Čapek, P.
Two methods of image analysis of cross-sections through two-phase porous media are compared. Linear filtering uses the recursive (IIR) Gaussian filter with the same vertical and horizontal blur radii. The images are also treated by removing small clusters of pixels in the void and solid phases. After linear filtering and before removing small clusters, the grey-level threshold is determined in order to partition all grey pixels into pore and solid pixels. Linear filtering reduces the specific surface very efficiently creating ``smooth'' pore walls and leaves small clusters of pixels in the images. Removing preserves ``rough'' pore walls and removes simultaneously small clusters from both the phases.
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Analýza vývoje nezaměstnanosti pomocí diskrétního časo-prostorového procesu
Reisnerová, Soňa ; Volf, Petr
The article deals with the discretized version of spatial-temporal random point process model and uses it for the analysis of number of unemployed people. The real components are given by the districts of the Czech Republic and are tied together by a simple model of M.R.F. The temporal components develop as s time series, time runs in months through years 2000-2005. We distingvish between the effects of years and the seasonal (months) effects. The solution uses Bayes approach with MCMC computation.
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