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Optimizing and Evaluating the Biocompatibility of Fiber Composites with CaP Additives
Suchý, Tomáš ; Sucharda, Zbyněk ; Balík, Karel ; Sochor, M. ; Bačáková, Lucie
Composite materials based on a polyamide fabric (aramid) and a polydymethyl-siloxane (PDMS) matrix were designed for application in bone surgery. In order to increase the bioactivity, 2, 5, 10, 15, 20 and 25 vol. % of nano/micro hydroxyapatite (HA) and tricalcium phosphate (TCP) were added. The effect of the additives on the biocompatibility was studied. It appears that nano additives have a more favorable effect than micro particles on mechanical properties. For final application of the composites as substitutes for bone tissues, 15 vol. % of nano hydroxyapatite additives is an optimum amount: in this case both the mechanical properties and the biological properties are optimized without distinct changes in the inner structure of the composite.
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Open-tubular capillary electrochromatography with bare gold nanoparticles-based stationary phase applied to separation of trypsin digested proteins
Mikšík, Ivan ; Lacinová, Kateřina ; Zmatlíková, Zdeňka ; Sedláková, Pavla ; Král, V. ; Sýkora, D. ; Řezanka, P. ; Kašička, Václav
Open-tubular capillary electrochromatography (OT-CEC) using bare gold nanoparticles-based stationary phase has been applied to separation of tryptic peptide fragments of native and glycated proteins, bovine serum albumin and human transferrin. OT-CEC with bare gold nanoparticles stationary phase was found to be a suitable technique for separation of complex peptide mixtures originating from enzymatic (tryptic) digestion of native and glycated bovine serum albumin and human transferrin, and for glycation studies of these proteins.
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Elastic registration of biomedical images on CUDA-Supported graphics procesor units
Michálek, Jan ; Čapek, Martin ; Janáček, Jiří ; Kubínová, Lucie
Elastic registration is a task of finding the matching of two images, using geometric and elastic transformations, so that objects in images have the same size, position and orientation. We apply elastic registration in the framework of volume reconstruction, where an object acquired from parallel physical sections is composed and mutual positions of the sections including deformations caused by their cutting have to be found. The method lies in optimizing a functional consisting of two parts: first, discrete total variation as a measure of roughness and, second, L1 norm as a measure of dissimilarity of images. As a parallelizable optimization strategy we apply a potential-based equivalent transformation of a (max,+)-labelling problem. CUDA-based implementation of the described elastic registration algorithm is reasonably fast, requires seconds to minutes of calculations, provides good results and, thus, can be used for practical tasks dealing with alignment of biomedical images
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Solving image analysis problems by minimization of total variation
Janáček, Jiří
A solution of various problems in image analysis using concurrent minimization of total variation and Lp loss function is presented. The minimization is achieved by a steepest descend method using graph cut minimization in each step. Regularization of noisy image and registration of microscopic images of physical sections are demonstrated
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