990 resultados para 490
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Diante da baixa eficácia e elevada toxicidade apresentada pelos fármacos antimoniais e anfotericina B, faz-se premente a pesquisa de novos agentes leishmanicidas. Para tanto, produtos naturais e sintéticos têm sido estudados na busca de novos protótipos antiparasitários. Este trabalho de conclusão de curso teve como objetivo avaliar a potencial ação leishmanicida de substâncias obtidas de Pterogyne nitens contra formas promastigotas de Leishmania Amazonensis e Leishmania chagasi e a ação citotóxica contra macrófagos da linhagem contínua J774. As amostras testadas, cedidas pelo NuBBE (Núcleo de Bioensaios, Biossíntese e Ecofisiologia de Produtos Naturais), foram obtidas por meio de técnicas de extração das diferentes partes da planta (flores, folhas e caule). Os ensaios biológicos em promastigotas e macrófagos J774 foram realizados pelo método colorimétrico utilizando-se MTT (Methyl Thiazolyl Blue). A leitura da densidade ótica (DO) foi realizada em espectrofotômetro a 490 nm e os resultados foram obtidos em absorbância. A porcentagem de citotoxidade (%C) foi calculada para determinação da Concentração Inibitória 50% (CI50). Os resultados foram comparados aos fármacos atualmente preconizados como segunda escolha de tratamento pelo Ministério da Saúde (pentamidina e anfotericina B), de acordo com o Manual de Vigilância das Leishmanioses, divulgado no portal do Ministério da Saúde. Os resultados obtidos corroboram o potencial farmacológico notável das substâncias obtidas de P. nitens para o uso terapêutico em doenças negligenciadas, tal como a leishmaniose
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Pós-graduação em Cirurgia Veterinária - FCAV
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In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the differents RGB components. After pre-processing step, the thresholding technique based on maximum entropy was applied to separate lipid droplets in the histological slides in different stages: early cleavage, morula and blastocyst. In the postprocessing step, false positives are removed using the connected components technique that identify regions with excess of dye near pellucid zone. The proposed segmentation method was applied in 30 histological images of bovine embryos. Experiments were performed with the images and statistical measures of sensitivity, specificity and accuracy were calculated based on reference images (gold standard). The value of accuracy of the proposed method was 96% with standard deviation of 3%.
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In this paper we presente a classification system that uses a combination of texture features from stromal regions: Haralick features and Local Binary Patterns (LBP) in wavelet domain. The system has five steps for classification of the tissues. First, the stromal regions were detected and extracted using segmentation techniques based on thresholding and RGB colour space. Second, the Wavelet decomposition was applied in the extracted regions to obtain the Wavelet coefficients. Third, the Haralick and LBP features were extracted from the coefficients. Fourth, relevant features were selected using the ANOVA statistical method. The classication (fifth step) was performed with Radial Basis Function (RBF) networks. The system was tested in 105 prostate images, which were divided into three groups of 35 images: normal, hyperplastic and cancerous. The system performance was evaluated using the area under the ROC curve and resulted in 0.98 for normal versus cancer, 0.95 for hyperplasia versus cancer and 0.96 for normal versus hyperplasia. Our results suggest that texture features can be used as discriminators for stromal tissues prostate images. Furthermore, the system was effective to classify prostate images, specially the hyperplastic class which is the most difficult type in diagnosis and prognosis.
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Pós-graduação em Agronomia (Entomologia Agrícola) - FCAV
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Pós-graduação em Estudos Linguísticos - IBILCE
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This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, mainly for the discrimination of natural objects. In fact, these descriptors express the spatial arrangement of pixels inside the texture under different scales and such arrangements are directly related to physical properties inherent to the material depicted in the image. Here, we employ the Bouligand-Minkowski descriptors. These are obtained by the dilation of a surface mapping the gray-level texture. The classification of the microscopy images is performed by the well-known Support Vector Machine (SVM) method and we compare the success rate with other literature texture analysis methods. The proposed method achieved a correctness rate of 89%, while the second best solution, the Co-occurrence descriptors, yielded only 78%. This clear advantage of fractal descriptors demonstrates the potential of such approach in the analysis of the plant microscopy images.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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In experimental conditions, cutting forces were studied during turning of green alumina billets, including their correlation with surface aspects of the workpiece. The correlation between cutting power and the removal rate are important parameters for defining the design of ceramic products, since inadequate parameters can produce excessive surface damage to the workpiece. This study examined the forces obtained during turning of alumina workpieces with 99.8% purity in their green state, by means of a three-point dynamometer, evaluating the cutting, feed and depth forces, using a cermet tool under constant machining conditions. Variables were compared with the forces, including surface finish, tool wear and temperature during machining. In the study, it was found that the depth of cut had no significant effect on the surface quality, and the cutting speed and feed influencing the finish. However, preliminary tests for selecting the cutting conditions showed that unsuitables cutting speeds and feeds generate severe damage to the workpiece surface. The best condition was 1.00 mm depth of cut, and the forces increasedfor with each pass performed, with the feed force the variable with greatest increases in relation to the cutting and depth forces, and wear of the cutting tool directly influenced the surface finish, generated by the highly abrasive nature of the alumina particles of the green compact. It is emphasized that the alumina in its green state showed high abrasive effect on the cutting tool during the turning process and the surface finishing of the green workpiece had a direct influence on the sintered workpiece.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)