Topological multi-contour decomposition for image analysis and image retrieval

Successful classification, information retrieval and image analysis tools are intimately related with the quality of the features employed in the process. Pixel intensities, color, texture and shape are, generally, the basis from which most of the features are Computed and used in such fields. This papers presents a novel shape-based feature extraction approach where an image is decomposed into multiple contours, and further characterized by Fourier descriptors. Unlike traditional approaches we make use of topological knowledge to generate well-defined closed contours, which are efficient signatures for image retrieval. The method has been evaluated in the CBIR context and image analysis. The results have shown that the multi-contour decomposition, as opposed to a single shape information, introduced a significant improvement in the discrimination power. (c) 2008 Elsevier B.V. All rights reserved,

Image indexing and retrieval using an ART-2A neural network architecture

Traditional content-based image retrieval (CBIR) systems use low-level features such as colors, shapes, and textures of images. Although, users make queries based on semantics, which are not easily related to such low-level characteristics. Recent works on CBIR confirm that researchers have been trying to map visual low-level characteristics and high-level semantics. The relation between low-level characteristics and image textual information has motivated this article which proposes a model for automatic classification and categorization of words associated to images. This proposal considers a self-organizing neural network architecture, which classifies textual information without previous learning. Experimental results compare the performance results of the text-based approach to an image retrieval system based on low-level features. (c) 2008 Wiley Periodicals, Inc.

Medical image retrieval based on complexity analysis

Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. This paper presents a novel approach for image analysis and retrieval based on complexity analysis. The approach consists of a texture segmentation step, performed by complexity analysis through BoxCounting fractal dimension, followed by the estimation of complexity of each computed region by multiscale fractal dimension. Experiments have been performed with MRI database in both pattern recognition and image retrieval contexts. Results show the accuracy of the method and also indicate how the performance changes as the texture segmentation process is altered.

Ki-67 and Bcl-2 Antigen Expression in Adenomatous Colorectal Polyps from Women with Breast Cancer

Background. The aim of this study was to evaluate Ki-67 and Bcl-2 antigen expression in colorectal polyps from women with breast cancer. Methods. A randomized, controlled study was carried out in 35 women, either with or without breast cancer, who had adenomatous colorectal polyps. The patients were divided into two groups: group A (without breast cancer; control group; n = 17) and group B (with breast cancer; study group; n = 18). Immunohistochemistry was performed on the colorectal polyps to evaluate Ki-67 and Bcl-2 antigen expression. Student`s t-test and the chi(2) test were used for the statistical analysis of Ki-67 and Bcl-2 expression, respectively. Statistical significance was established as P < 0.05. Results. The mean percentage of Ki-67-stained nuclei in groups A and B was 36.25 +/- 2.31 and 59.44 +/- 3.34 ( SEM), respectively (P < 0.0001), while the percentage of cases with cells expressing Bcl-2 in groups A and B was 23.5 and 77.8%, respectively (P < 0.001). Conclusions. In the present study, there was greater proliferative activity and greater expression of the antiapoptotic protein Bcl-2 in the colorectal polyps of women with breast cancer.

Effects of Raloxifene on Ki-67 and CD34 Antigen Expression in Breast Cancer

Background: The aim of this study was to evaluate the effect of raloxifene on CD34 and Ki-67 antigen expression in breast cancer specimens from postmenopausal women. Methods: Sixteen postmenopausal patients with operable, stage II (>= 3 cm), estrogen receptor-positive breast cancer, who took 60 mg of raloxifene daily for 28 days, participated in this study. Immunohistochemistry was carried out in tumor samples prior to and following raloxifene treatment to evaluate CD34 and Ki-67 protein expression. Angiogenesis was quantified in 10 randomly selected fields per slide, and Ki-67-stained nuclei were counted in 1,000 cells per slide using an image capture and analysis system with 400 ! magnification. Student`s t test for paired samples was used for the statistical analysis of data. Statistical significance was established at p < 0.05. Results: The mean number of microvessels was 44.44 +/- 3.54 prior to raloxifene therapy and 22.63 +/- 1.61 following therapy (p < 0.001), and the mean percentage of Ki-67-stained nuclei was 19.28 +/- 8 1.61 and 12.13 +/- 8 1.48 prior to and following raloxifene treatment, respectively (p < 0.001). Conclusion: Raloxifene significantly reduces CD34 and Ki-67 protein expression in breast carcinoma in postmenopausal women. Copyright (C) 2008 S. Karger AG, Basel

Structure and Calcium-Binding Activity of LipL32, the Major Surface Antigen of Pathogenic Leptospira sp.

Leptospixosis, a spirochaetal zoonotic disease caused by Leptospira, has been recognized as an important emerging infectious disease. LipL32 is the major exposed outer membrane protein found exclusively in pathogenic leptospires, where it accounts for up to 75% of the total outer membrane proteins. It is highly immunogenic, and recent studies have implicated LipL32 as an extracellular matrix binding protein, interacting with collagens, fibronectin, and laminin. In order to better understand the biological role and the structural requirements for the function of this important lipoprotein, we have determined the 2.25-angstrom-resolution structure of recombinant LipL32 protein corresponding to residues 21-272 of the wild-type protein (LipL32(21-272)). The LipL32(21-272) monomer is made of a jelly-roll fold core from which several peripheral secondary structures protrude. LipL32(21-272) is structurally similar to several other jelly-roll proteins, some of which bind calcium ions and extracellular matrix proteins. Indeed, spectroscopic data (circular dichroism, intrinsic tryptophan fluorescence, and extrinsic 1-amino-2-naphthol-4-sulfonic acid fluorescence) confirmed the calcium-binding properties of LipL32(21-272). Ca(2+) binding resulted in a significant increase in the thermal stability of the protein, and binding was specific for Ca(2+) as no structural or stability perturbations were observed for Mg(2+), Zn(2+), or Cu(2+). Careful examination of the crystal lographic structure suggests the locations of putative regions that could mediate Ca(2+) binding as well as binding to other interacting host proteins, such as collagens, fibronectin, and lamixidn. (C) 2009 Elsevier Ltd. All rights reserved.

Performance Evaluation Of SMOS Soil Moisture Retrieval Parameters For Hydrological Application

Microwave remote sensing has high potential for soil moisture retrieval. However, the efficient retrieval of soil moisture depends on optimally choosing the soil moisture retrieval parameters. In this study first the initial evaluation of SMOS L2 product is performed and then four approaches regarding soil moisture retrieval from SMOS brightness temperature are reported. The radiative transfer equation based tau-omega rationale is used in this study for the soil moisture retrievals. The single channel algorithms (SCA) using H polarisation is implemented with modifications, which includes the effective temperatures simulated from ECMWF (downscaled using WRF-NOAH Land Surface Model (LSM)) and MODIS. The retrieved soil moisture is then utilized for soil moisture deficit (SMD) estimation using empirical relationships with Probability Distributed Model based SMD as a benchmark. The square of correlation during the calibration indicates a value of R2 =0.359 for approach 4 (WRF-NOAH LSM based LST with optimized roughness parameters) followed by the approach 2 (optimized roughness parameters and MODIS based LST) (R2 =0.293), approach 3 (WRF-NOAH LSM based LST with no optimization) (R2 =0.267) and approach 1(MODIS based LST with no optimization) (R2 =0.163). Similarly, during the validation a highest performance is reported by approach 4. The other approaches are also following a similar trend as calibration. All the performances are depicted through Taylor diagram which indicates that the H polarisation using ECMWF based LST is giving a better performance for SMD estimation than the original SMOS L2 products at a catchment scale.

Comparison between a soluble antigen-based ELISA and IFAT in detecting antibodies against Babesia canis in dogs

O presente trabalho estudou um ensaio imunoenzimático (ELISA) indireto para a detecção de anticorpos anti-Babesia canis no soro de cães, tendo a Reação de Imunofluorescência Indireta (RIFI), como teste de referência O antígeno utilizado no ELISA do presente estudo consistiu em uma preparação antigênica solúvel de merozoítas B. canis e as diluições ótimas do antígeno, soros e conjugado foram determinadas por titulação em bloco, utilizando soros de referência positivos e negativos. A preparação antigênica solúvel de B. canis ótima foi de 10 µg.mL-1, com soros de referência positivos e negativos em uma única diluição de 1:100, e conjugado a 1:4.000. Um total de 246 amostras séricas foram colhidas em cães, durante a campanha de vacinação anti-rábica em Jaboticabal, São Paulo, Brasil e a presença de anticorpos anti-B. canis foi avaliada pelo ELISA e RIFI. Nestas condições, a média de absorbância dos soros de referência negativos foi de 0,129 ± 0,025, resultando em um ponto de corte de 0,323 (Nível de ELISA 3) e a média da absorbância dos soros de referência positivos foi de 2,156 ± 1,187. As amostras com sorologia positiva para B. canis por ELISA e RIFI foram 67,89% (n = 167) e 59,35% (n = 146), respectivamente. Os resultados obtidos sugerem que o ELISA descrito revelou-se um teste sorológico eficaz no diagnóstico da babesiose canina.

Antigen-presenting cells in draining lymph nodes of goats repeatedly infested by the Cayenne tick Amblyomma cajennense nymphs

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)