Correlation postprocessing-based method for the detection of de focused images

We present a method to detect patterns in defocused scenes by means of a joint transform correlator. We describe analytically the correlation plane, and we also introduce an original procedure to recognize the target by postprocessing the correlation plane. The performance of the methodology when the defocused images are corrupted by additive noise is also considered.

Chlamydiales and the innate immune response: friend or foe?

Pathogenicity of Chlamydia and Chlamydia-related bacteria could be partially mediated by an enhanced activation of the innate immune response. The study of this host pathogen interaction has proved challenging due to the restricted in vitro growth of these strict intracellular bacteria and the lack of genetic tools to manipulate their genomes. Despite these difficulties, the interactions of Chlamydiales with the innate immune cells and their effectors have been studied thoroughly. This review aims to point out the role of pattern recognition receptors and signal molecules (cytokines, reactive oxygen species) of the innate immune response in the pathogenesis of chlamydial infection. Besides inducing clearance of the bacteria, some of these effectors may be used by the Chlamydia to establish chronic infections or to spread. Thus, the induced innate immune response seems to be variable depending on the species and/or the serovar, making the pattern more complex. It remains crucial to determine the common players of the innate immune response in order to help define new treatment strategies and to develop effective vaccines. The excellent growth in phagocytic cells of some Chlamydia-related organisms such as Waddlia chondrophila supports their use as model organisms to study conserved features important for interactions between the innate immunity and Chlamydia.

Reduction of the effect of aberrations in a joint transform correlator

We report the study of the influence of optical aberrations in a joint-transform correlator: The wave aberration of the optical system is computed from data obtained by ray tracing. Three situations are explored: We consider the aberration only in the first diffraction stage (generation of power spectrum), then only in the second (transformation of the power spectrum into correlation), and finally in both stages simultaneously. The results show that the quality of the correlation is determined mostly by the aberrations of the first diffraction stage and that we can optimize the setup by moving the cameras along the optical axis to a suitable position. The good agreement between the predicted data and the experimental results shows that the method explains well the behavior of optical diffraction systems when aberrations are taken into account.

Utilización de pantallas de cristal líquido en un correlador de Vander Lugt

En este artículo se presenta un estudio cuya finalidad es analizar diferentes aspectos de la utilización de pantallas de cristal líquido, extraídas de un videoproyector, en montajes de reconocimiento de formas por correlación. Se analizan las condiciones de funcionamiento de las pantallas y sus posibles modos de configuración. Se estudian dos tipos de filtros de correlación, el filtro adaptado clásico y el de sólo fase, así como la manera de codificarlos en las pantallas. Finalmente, se presentan los resultados de una serie de realizaciones experimentales utilizando un correlador de VanderLugt y diferentes configuraciones de las pantallas. De todo ello se deducen las condiciones óptimas de funcionamiento del sistema.

Pedotransfer functions to predict water retention for soils of the humid tropics: a review

Over the past three decades, pedotransfer functions (PTFs) have been widely used by soil scientists to estimate soils properties in temperate regions in response to the lack of soil data for these regions. Several authors indicated that little effort has been dedicated to the prediction of soil properties in the humid tropics, where the need for soil property information is of even greater priority. The aim of this paper is to provide an up-to-date repository of past and recently published articles as well as papers from proceedings of events dealing with water-retention PTFs for soils of the humid tropics. Of the 35 publications found in the literature on PTFs for prediction of water retention of soils of the humid tropics, 91 % of the PTFs are based on an empirical approach, and only 9 % are based on a semi-physical approach. Of the empirical PTFs, 97 % are continuous, and 3 % (one) is a class PTF; of the empirical PTFs, 97 % are based on multiple linear and polynomial regression of n th order techniques, and 3 % (one) is based on the k-Nearest Neighbor approach; 84 % of the continuous PTFs are point-based, and 16 % are parameter-based; 97 % of the continuous PTFs are equation-based PTFs, and 3 % (one) is based on pattern recognition. Additionally, it was found that 26 % of the tropical water-retention PTFs were developed for soils in Brazil, 26 % for soils in India, 11 % for soils in other countries in America, and 11 % for soils in other countries in Africa.

Adaptive tracking of EEG oscillations.

Neuronal oscillations are an important aspect of EEG recordings. These oscillations are supposed to be involved in several cognitive mechanisms. For instance, oscillatory activity is considered a key component for the top-down control of perception. However, measuring this activity and its influence requires precise extraction of frequency components. This processing is not straightforward. Particularly, difficulties with extracting oscillations arise due to their time-varying characteristics. Moreover, when phase information is needed, it is of the utmost importance to extract narrow-band signals. This paper presents a novel method using adaptive filters for tracking and extracting these time-varying oscillations. This scheme is designed to maximize the oscillatory behavior at the output of the adaptive filter. It is then capable of tracking an oscillation and describing its temporal evolution even during low amplitude time segments. Moreover, this method can be extended in order to track several oscillations simultaneously and to use multiple signals. These two extensions are particularly relevant in the framework of EEG data processing, where oscillations are active at the same time in different frequency bands and signals are recorded with multiple sensors. The presented tracking scheme is first tested with synthetic signals in order to highlight its capabilities. Then it is applied to data recorded during a visual shape discrimination experiment for assessing its usefulness during EEG processing and in detecting functionally relevant changes. This method is an interesting additional processing step for providing alternative information compared to classical time-frequency analyses and for improving the detection and analysis of cross-frequency couplings.

ZHARP: three-dimensional motion tracking from a single image plane.

Three-dimensional imaging and quantification of myocardial function are essential steps in the evaluation of cardiac disease. We propose a tagged magnetic resonance imaging methodology called zHARP that encodes and automatically tracks myocardial displacement in three dimensions. Unlike other motion encoding techniques, zHARP encodes both in-plane and through-plane motion in a single image plane without affecting the acquisition speed. Postprocessing unravels this encoding in order to directly track the 3-D displacement of every point within the image plane throughout an entire image sequence. Experimental results include a phantom validation experiment, which compares zHARP to phase contrast imaging, and an in vivo study of a normal human volunteer. Results demonstrate that the simultaneous extraction of in-plane and through-plane displacements from tagged images is feasible.

Automatic Prediction of Facial Trait Judgments: Appearance vs. Structural Models

Evaluating other individuals with respect to personality characteristics plays a crucial role in human relations and it is the focus of attention for research in diverse fields such as psychology and interactive computer systems. In psychology, face perception has been recognized as a key component of this evaluation system. Multiple studies suggest that observers use face information to infer personality characteristics. Interactive computer systems are trying to take advantage of these findings and apply them to increase the natural aspect of interaction and to improve the performance of interactive computer systems. Here, we experimentally test whether the automatic prediction of facial trait judgments (e.g. dominance) can be made by using the full appearance information of the face and whether a reduced representation of its structure is sufficient. We evaluate two separate approaches: a holistic representation model using the facial appearance information and a structural model constructed from the relations among facial salient points. State of the art machine learning methods are applied to a) derive a facial trait judgment model from training data and b) predict a facial trait value for any face. Furthermore, we address the issue of whether there are specific structural relations among facial points that predict perception of facial traits. Experimental results over a set of labeled data (9 different trait evaluations) and classification rules (4 rules) suggest that a) prediction of perception of facial traits is learnable by both holistic and structural approaches; b) the most reliable prediction of facial trait judgments is obtained by certain type of holistic descriptions of the face appearance; and c) for some traits such as attractiveness and extroversion, there are relationships between specific structural features and social perceptions.

Introduction

Although increasing our knowledge of the properties of networks of cities is essential, these properties can be measured at the city level, and must be assessed by analyzing actor networks. The present volume focuses less on individual characteristics and more on the interactions of actors and institutions that create functional territories in which the structure of existing links constrains emerging links. Rather than basing explanations on external factors, the goal is to determine the extent to which network properties reflect spatial distributions and create local synergies at the meso level that are incorporated into global networks at the macro level where different geographical scales occur. The paper introduces the way to use the graphs structure to identify empirically relevant groups and levels that explain dynamics. It defines what could be called âeurooemulti-levelâeuro, âeurooemulti-scaleâeuro, or âeurooemultidimensionalâeuro networks in the context of urban geography. It explains how the convergence of the network multi-territoriality paradigm collaboratively formulated, and manipulated by geographers and computer scientists produced the SPANGEO project, which is exposed in this volume.

A Small World Perspective on Urban Systems

The theory of small-world networks as initiated by Watts and Strogatz (1998) has drawn new insights in spatial analysis as well as systems theory. The theoryâeuro?s concepts and methods are particularly relevant to geography, where spatial interaction is mainstream and where interactions can be described and studied using large numbers of exchanges or similarity matrices. Networks are organized through direct links or by indirect paths, inducing topological proximities that simultaneously involve spatial, social, cultural or organizational dimensions. Network synergies build over similarities and are fed by complementarities between or inside cities, with the two effects potentially amplifying each other according to the âeurooepreferential attachmentâeuro hypothesis that has been explored in a number of different scientific fields (Barabási, Albert 1999; Barabási A-L 2002; Newman M, Watts D, Barabàsi A-L). In fact, according to Barabási and Albert (1999), the high level of hierarchy observed in âeurooescale-free networksâeuro results from âeurooepreferential attachmentâeuro, which characterizes the development of networks: new connections appear preferentially close to nodes that already have the largest number of connections because in this way, the improvement in the network accessibility of the new connection will likely be greater. However, at the same time, network regions gathering dense and numerous weak links (Granovetter, 1985) or network entities acting as bridges between several components (Burt 2005) offer a higher capacity for urban communities to benefit from opportunities and create future synergies. Several methodologies have been suggested to identify such denser and more coherent regions (also called communities or clusters) in terms of links (Watts, Strogatz 1998; Watts 1999; Barabási, Albert 1999; Barabási 2002; Auber 2003; Newman 2006). These communities not only possess a high level of dependency among their member entities but also show a low level of âeurooevulnerabilityâeuro, allowing for numerous redundancies (Burt 2000; Burt 2005). The SPANGEO project 2005âeuro"2008 (SPAtial Networks in GEOgraphy), gathering a team of geographers and computer scientists, has included empirical studies to survey concepts and measures developed in other related fields, such as physics, sociology and communication science. The relevancy and potential interpretation of weighted or non-weighted measures on edges and nodes were examined and analyzed at different scales (intra-urban, inter-urban or both). New classification and clustering schemes based on the relative local density of subgraphs were developed. The present article describes how these notions and methods contribute on a conceptual level, in terms of measures, delineations, explanatory analyses and visualization of geographical phenomena.

Increased titers of anti-Saccharomyces cerevisiae antibodies in Crohn's disease patients with reduced H-ficolin levels but normal MASP-2 activity.

BACKGROUND AND AIMS: Mannan-binding lectin (MBL) and ficolins are microbial pattern recognition molecules that activate the lectin pathway of complement. We previously reported the association of MBL deficiency with anti-Saccharomyces cerevisiae antibodies (ASCA) in patients with Crohn's disease (CD). However, ASCA are also frequently found in MBL-proficient CD patients. Here we addressed expression/function of ficolins and MBL-associated serine protease-2 (MASP-2) regarding potential association with ASCA. METHODS: ASCA titers and MBL, ficolin and MASP-2 concentrations were determined by ELISA in the serum of patients with CD, ulcerative colitis (UC), and in healthy controls. MASP-2 activity was determined by measuring complement C4b-fixation. Anti-MBL autoantibodies were detected by ELISA. RESULTS: In CD and UC patients, L-ficolin concentrations were significantly higher compared to healthy controls (p<0.001 and p=0.029). In contrast, H-ficolin concentrations were slightly reduced in CD and UC compared to healthy controls (p=0.037 for UC vs. hc). CD patients with high ASCA titers had significantly lower H-ficolin concentrations compared to ASCA-low/negative CD patients (p=0.009). However, MASP-2 activity was not different in ASCA-negative and ASCA-positive CD patients upon both, ficolin- or MBL-mediated MASP-2 activation. Finally, anti-MBL autoantibodies were not over-represented in MBL-proficient ASCA-positive CD patients. CONCLUSIONS: Our results suggest that low expression of H-ficolin may promote elevated ASCA titers in the ASCA-positive subgroup of CD patients. However, unlike MBL deficiency, we found no evidence for low expression of serum ficolins or reduced MASP-2 activity that may predispose to ASCA development.

Persistent infection of arenaviruses : molecular mechanisms and pathogenesis

Arenaviruses are enveloped negative single strand RNA viruses that include a number of important human pathogens. The most prevalent human pathogen among the arenaviruses is the Old World arenavirus Lassa virus (LASV) which is endemic in West Africa from Senegal to Cameroon. LASV is the etiologic agent of a severe viral hemorrhagic fever named Lassa fever whose mortality rate can reach 30% in hospitalized patients. One of the hallmarks of fatal arenavirus infection in humans is the absence of an effective innate and adaptive immune response. In nature, arenaviruses are carried by rodents which represent the natural reservoirs as well as the vectors for transmission. In their natural rodent reservoir, arenaviruses have the ability to establish persistent infection without any overt signs and symptoms of pathology. We believe that the modulation of the host cell's innate immunity by arenaviruses is a key determinant for persistence in the natural host and for the pathogenesis in man. In this thesis, we studied the interaction of arenaviruses with two main branches of the host's innate anti-viral defense, the type I interferon (IFN) system and virus-induced mitochondrial apoptosis. The arenavirus nucleoprotein (NP) is responsible for the anti-IFN activity of arenaviruses. Specifically, NP blocks the activation and the nuclear translocation of the transcription factor interferon regulatory factor 3 (IRF3) which leads to type I IFN production. LASV and the prototypic arenavirus lymphocytic choriomeningitis virus (LCMV) NPs contain a 3'-5'exoribonuclease domain in the C terminal part that has been linked to the anti-IFN activity of NP. In the first project, we sought to identify cellular component(s) of the type I IFN induction pathway targeted by the viral NP. Our study revealed that LCMV NP prevents the activation of IRF3 by blocking phosphorylation of the transcription factor. We found that LCMV NP specifically targets the IRF-activating kinase IKKs, and this specific binding is conserved within the Arenaviridae. We could also demonstrate that LCMV NP associates with the kinase domain of IKKs involving NP's C-terminal region. Lastly, we showed that the binding of LCMV NP inhibits the kinase activity of IKKs. This study allowed the discovery of a new cellular interacting partner of arenavirus NP. This newly described association may play a role in the anti-IFN activity of arenaviruses but potentially also in other aspects of arenavirus infection. For the second project, we investigated the ability of arenaviruses to avoid and/or suppress mitochondrial apoptosis. As persistent viruses, arenaviruses evolved a "hit and stay" survival strategy where the apoptosis of the host cell would be deleterious. We found that LCMV does not induce mitochondrial apoptosis at any time during infection. Specifically, no caspase activity, no cytochrome c release from the mitochondria as well as no cleavage of poly (ADP-ribose) polymerase (PARP) were detected during LCMV infection. Interestingly, we found that virus-induced mitochondrial apoptosis remains fully functional in LCMV infected cells, while the induction of type IIFN is blocked. Since both type IIFN production and virus- induced mitochondrial apoptosis critically depend on the pattern recognition receptor (PRR) RIG-I, we examined the role of RIG-I in apoptosis in LCMV infected cells. Notably, virus- induced mitochondrial apoptosis in LCMV infected cells was found to be independent of RIG- I and MDA5, but still depended on MAVS. Our study uncovered a novel mechanism by which arenaviruses alter the host cell's pro-apoptotic signaling pathway. This might represent a strategy arenaviruses developed to maintain this branch of the innate anti-viral defense in absence of type I IFN response. Taken together, these results allow a better understanding of the interaction of arenaviruses with the host cell's innate immunity, contributing to our knowledge about pathogenic properties of these important viruses. A better comprehension of arenavirus virulence may open new avenues for vaccine development and may suggest new antiviral targets for therapeutic intervention against arenavirus infections. - Les arenavirus sont des virus enveloppés à ARN simple brin qui comportent un grand nombre de pathogènes humains. Le pathogène humain le plus important parmi les arenavirus est le virus de Lassa qui est endémique en Afrique de l'Ouest, du Sénégal au Cameroun. Le virus de Lassa est l'agent étiologique d'une fièvre hémorragique sévère appelée fièvre de Lassa, et dont le taux de mortalité peut atteindre 30% chez les patients hospitalisés. L'une des caractéristiques principales des infections fatales à arenavirus chez l'Homme est l'absence de réponse immunitaire innée et adaptative. Dans la nature, les arenavirus sont hébergés par différentes espèces de rongeur, qui représentent à la fois les réservoirs naturels et les vecteurs de transmission des arenavirus. Dans leur hôte naturel, les arenavirus ont la capacité d'établir une infection persistante sans symptôme manifeste d'une quelconque pathologie. Nous pensons que la modulation de système immunitaire inné de la cellule hôte par les arenavirus est un paramètre clé pour la persistance au sein de l'hôte naturel, ainsi que pour la pathogenèse chez l'Homme. L'objectif de cette thèse était d'étudier l'interaction des arenavirus avec deux branches essentielles de la défense antivirale innée de la cellule hôte, le système interféron (IFN) de type I et l'apoptose. La nucléoprotéine virale (NP) est responsable de l'activité anti-IFN des arenavirus. Plus spécifiquement, la NP bloque 1'activation et la translocation nucléaire du facteur de transcription IRF3 qui conduit à la production des IFNs de type I. La NP du virus de Lassa et celle du virus de la chorioméningite lymphocytaire (LCMV), l'arénavirus prototypique, possèdent dans leur extrémité C-terminale un domaine 3'-5' exoribonucléase qui a été associé à l'activité anti-IFN de ces protéines. Dans un premier projet, nous avons cherché à identifier des composants cellulaires de la cascade de signalisation induisant la production d'IFNs de type I qui pourraient être ciblés par la NP virale. Nos recherches ont révélé que la NP de LCMV empêche 1'activation d'IRF3 en bloquant la phosphorylation du facteur de transcription. Nous avons découvert que la NP de LCMV cible spécifiquement la kinase IKKe, et que cette interaction spécifique est conservée à travers la famille des Arenaviridae. Notre étude a aussi permis de démontrer que la NP de LCMV interagit avec le domaine kinase d'IKKe et que l'extrémité C-terminale de la NP est impliquée. Pour finir, nous avons pu établir que l'association avec la NP de LCMV inhibe l'activité kinase d'IKKe. Cette première étude présente la découverte d'un nouveau facteur cellulaire d'interaction avec la NP des arenavirus. Cette association pourrait jouer un rôle dans l'activité anti-IFN des arénavirus, mais aussi potentiellement dans d'autres aspects des infections à arénavirus. Pour le second projet, nous nous sommes intéressés à la capacité des arénavirus à éviter et/ou supprimer l'apoptose mitochondriale. En tant que virus persistants, les arénavirus ont évolué vers une stratégie de survie "hit and stay" pour laquelle l'apoptose de la cellule hôte serait néfaste. Nous avons observé qu'à aucun moment durant l'infection LCMV n'induit l'apoptose mitochondriale. Spécifiquement, aucune activité de caspase, aucune libération mitochondriale de cytochrome c ainsi qu'aucun clivage de la polymerase poly(ADP-ribose) (PARP) n'a été détecté pendant l'infection à LCMV. Il est intéressant de noter que l'apoptose mitochondriale induite par les virus reste parfaitement fonctionnelle dans les cellules infectées par LCMV, alors que l'induction de la réponse IFN de type I est bloquée dans les mêmes cellules. La production des IFNs de type I et l'apoptose mitochondriale induite par les virus dépendent toutes deux du récepteur de reconnaissance de motifs moléculaires RIG-I. Nous avons, par conséquent, investigué le rôle de RIG-I dans l'apoptose qui a lieu dans les cellules infectées par LCMV lorsqu'on les surinfecte avec un autre virus pro-apoptotique. En particulier, l'apoptose mitochondriale induite par les surinfections s'est révélée indépendante de RIG-I et MDA5, mais dépendante de MAVS dans les cellules précédemment infectées par LCMV. Notre étude démontre ainsi l'existence d'un nouveau mécanisme par lequel les arénavirus altèrent la cascade de signalisation pro-apoptotique de la cellule hôte. Il est possible que les arénavirus aient développé une stratégie permettant de maintenir fonctionnelle cette branche de la défense antivirale innée en l'absence de réponse IFN de type I. En conclusion, ces résultats nous amènent à mieux comprendre l'interaction des arénavirus avec l'immunité innée de la cellule hôte, ce qui contribue aussi à améliorer notre connaissance des propriétés pathogéniques de ces virus. Une meilleure compréhension des facteurs de virulence des arénavirus permet, d'une part, le développement de vaccins et peut, d'autre part, servir de base pour la découverte de nouvelles cibles thérapeutiques utilisées dans le traitement des infections à arénavirus.

An active contour-based atlas registration model applied to automatic subthalamic nucleus targeting on MRI: method and validation.

This paper presents a new non parametric atlas registration framework, derived from the optical flow model and the active contour theory, applied to automatic subthalamic nucleus (STN) targeting in deep brain stimulation (DBS) surgery. In a previous work, we demonstrated that the STN position can be predicted based on the position of surrounding visible structures, namely the lateral and third ventricles. A STN targeting process can thus be obtained by registering these structures of interest between a brain atlas and the patient image. Here we aim to improve the results of the state of the art targeting methods and at the same time to reduce the computational time. Our simultaneous segmentation and registration model shows mean STN localization errors statistically similar to the most performing registration algorithms tested so far and to the targeting expert's variability. Moreover, the computational time of our registration method is much lower, which is a worthwhile improvement from a clinical point of view.