Health risk appraisal in older people 6: factors associated with self-reported poor vision and uptake of eye tests in older people

BACKGROUND Although free eye testing is available in the UK from a nation-wide network of optometrists, there is evidence of unrecognised, tractable vision loss amongst older people. A recent review identified this unmet need as a priority for further investigation, highlighting the need to understand public perceptions of eye services and barriers to service access and utilisation. This paper aims to identify risk factors for (1) having poor vision and (2) not having had an eyesight check among community-dwelling older people without an established ophthalmological diagnosis. METHODS Secondary analysis of self-reported data from the ProAge trial. 1792 people without a known ophthalmological diagnosis were recruited from three group practices in London. RESULTS Almost two in ten people in this population of older individuals without known ophthalmological diagnoses had self-reported vision loss, and more than a third of them had not had an eye test in the previous twelve months. In this sample, those with limited education, depressed mood, need for help with instrumental and basic activities of daily living (IADLs and BADLs), and subjective memory complaints were at increased risk of fair or poor self-reported vision. Individuals with basic education only were at increased risk for not having had an eye test in the previous 12 months (OR 1.52, 95% CI 1.17-1.98 p=0.002), as were those with no, or only one chronic condition (OR 1.850, 95% CI 1.382-2.477, p<0.001). CONCLUSIONS Self-reported poor vision in older people without ophthalmological diagnoses is associated with other functional losses, with no or only one chronic condition, and with depression. This pattern of disorders may be the basis for case finding in general practice. Low educational attainment is an independent determinant of not having had eye tests, as well as a factor associated with undiagnosed vision loss. There are other factors, not identified in this study, which determine uptake of eye testing in those with self-reported vision loss. Further exploration is needed to identify these factors and lead towards effective case finding.

Self-supporting CVD diamond charge state conversion surfaces for high resolution imaging of low-energy neutral atoms in space plasmas

Two polycrystalline diamond surfaces, manufactured by chemical vapour deposition (CVD) technique, are investigated regarding their applicability as charge state conversion surfaces (CS) for use in a low energy neutral atom imaging instrument in space research. The capability of the surfaces for converting neutral atoms into negative ions via surface ionisation processes was measured for hydrogen and oxygen with particle energies in the range from 100 eV to 1 keV and for angles of incidence between 6 deg and 15 deg. We observed surface charging during the surface ionisation processes for one of the CVD samples due to low electrical conductivity of the material. Measurements on the other CVD diamond sample resulted in ionisation efficiencies of ~2 % for H and up to 12 % for O. Analysis of the angular scattering revealed very narrow and almost circular scattering distributions. Comparison of the results with the data of the CS of the IBEX-Lo sensor shows that CVD diamond has great potential as CS material for future space missions.

The Self-Expanding Symetis Acurate Does Not Increase Cerebral Microembolic Load When Compared to the Balloon-Expandable Edwards Sapien Prosthesis: A Transcranial Doppler Study in Patients Undergoing Transapical Aortic Valve Implantation

Objectives The aim of this study was to quantify potential differences in count, frequency and pattern of high-intensity transient signals (HITS) during transapical transcatheter aortic valve implantation (TA-TAVI), by comparing the Symetis Acurate TA (SA) with the balloon-expandable Edwards Sapien XT (ES) system. Background Recently, the Symetis Acurate TA revalving system has been introduced for TA-TAVI. The Symetis Acurate TA aortic bioprosthesis is self-expanding and is deployed by a specific two-step implantation technique. Whether this novel method increases the load of intraprocedural emboli, detected by transcranial Doppler ultrasound (TCD) as HITS, or not is not clear. Methods Twenty-two patients (n = 11 in each study arm, median logistic EuroScore 20%, median STS score 7%) displayed continuous TCD signals of good quality throughout the entire TA-TAVI procedure and were included in the final analysis. Data are presented as median with interquartile ranges. Results No significant differences were detected in total procedural or interval-related HITS load (SA: 303 [200; 594], ES: 499 [285; 941]; p = 0.16). With both devices, HITS peaked during prosthesis deployment (PD), whereas significantly fewer HITS occurred during instrumentation (SA: p = 0.002; ES: <0.001) or post-implantation PI (SA: p = 0.007; ES: <0.001). PD-associated HITS amounted to almost half of the total HITS load. One patient suffered new disabling stroke at 30 days. Thirty-day mortality amounted to 13.6% (3 of 22 patients). Conclusions Simplified transapical delivery using the self-expanding SA device does not increase HITS, despite of a two-step deployment technique with more interactions with the native aortic valve, when compared to the balloon-expandable ES valve. The similarity in HITS count, frequency and pattern with the two systems suggests a common mechanism for the release of cerebral microemboli.

The Almost Person: Myth, Narrative and The Doctor

Paul Ricœur describes selfhood as the product of a communal narrative. Communal narratives structured as symbolic myths provide a narrative identity and an ethic of selfhood. The psychologist Jerome Bruner, for instance, places the source of such a narrative identity in the family, where ‘canonical stories’ are formed. ‘Home’ becomes a mode of discourse, a way of recognizing ourselves in the narratives given to us by others. This paper will draw on these concepts of narrative identity in order to investigate the problems to selfhood which face the character of The Doctor in the BBC series Doctor Who. I will identify The Doctor as a character who acts within a self-constructed narrative vacuum, reading the character by contrasting two types of personal myth-making, one ‘real’, as in a lived narrative, and one ‘counterfeit’; a conjured myth to replace and obscure the lived self. The paper will pay particular attention to the twenty-first century reincarnations of Doctor Who. I will argue that the writing of Russell T. Davis and later Steven Moffat in particular directly address this tension of myth and selfhood, as The Doctor struggles between his self-imposed role as a modern Prometheus and the insistent haunting and return of his own story. In these incarnations, his companions become mirrors to The Doctor, bringing with them their own narrative and ethical identities. In turn, it is through his companions that The Doctor is able to build his own lived narrative of sorts, which challenges his self-created ‘mythology’. In contrast to the weeping angels, whose horrific agency manifests only when not apprehended, the Doctor’s story continues to become more real the more he is ‘perceived’, both by the human race and by the viewer.

Self-esteem, narcissism, and stressful life events: Testing for selection and socialization

We examined whether self-esteem and narcissism predict the occurrence of stressful life events (i.e., selection) and whether stressful life events predict change in self-esteem and narcissism (i.e., socialization). The analyses were based on longitudinal data from 2 studies, including samples of 328 young adults (Study 1) and 371 adults (Study 2). The effects of self-esteem and narcissism were mutually controlled for each other and, moreover, controlled for effects of depression. After conducting the study-level analyses, we meta-analytically aggregated the findings. Self-esteem had a selection effect, suggesting that low self-esteem led to the occurrence of stressful life events; however, this effect became nonsignificant when depression was controlled for. Regardless of whether depression was controlled for or not, narcissism had a selection effect, suggesting that high narcissism led to the occurrence of stressful life events. Moreover, stressful life events had a socialization effect on self-esteem, but not on narcissism, suggesting that the occurrence of stressful life events decreased self-esteem. Analyses of trait–state models indicated that narcissism consisted almost exclusively of perfectly stable trait variance, providing a possible explanation for the absence of socialization effects on narcissism. The findings have significant implications because they suggest that a person’s level of narcissism influences whether stressful life events occur, and that self-esteem is shaped by the occurrence of stressful life events. Moreover, we discuss the possibility that depression mediates the selection effect of low self-esteem on stressful life events.

Non-self-adjoint graphs

On finite metric graphs we consider Laplace operators, subject to various classes of non-self-adjoint boundary conditions imposed at graph vertices. We investigate spectral properties, existence of a Riesz basis of projectors and similarity transforms to self-adjoint Laplacians. Among other things, we describe a simple way to relate the similarity transforms between Laplacians on certain graphs with elementary similarity transforms between matrices defining the boundary conditions.

Endogenous Growth in the Presence of Informal Credit Markets: A Comparative Analysis Between Credit Rationing and Self-Revelation Regimes

This paper examines whether the presence of informal credit markets reduces the cost of credit rationing in terms of growth. In a dynamic general equilibrium framework, we assume that firms are heterogenous with different degrees of risk and households invest in human capital development. With the help of Indian household level data we show that the informal market reduces the cost of rationing by increasing the growth rate by 0.7 percent. This higher growth rate, in the presence of an informal sector, is due to the ability of the informal market to separate the high risk from the low risk firms thanks to better information. But even after such improvement we do not get the optimum outcome. The findings, based on our second question, suggest that the revelation of firms' type, based on incentive compatible pricing, can lead to almost 2 percent higher growth rate as compared to the credit rationing regime with informal sector.

The influence of social connectedness and self-esteem on participant retention in a bi-ethnic longitudinal study

In prospective studies it is essential that the study sample accurately represents the target population for meaningful inferences to be drawn. Understanding why some individuals do not participate, or fail to continue to participate, in longitudinal studies can provide an empirical basis for the development of effective recruitment and retention strategies to improve response rates. This study examined the influence of social connectedness and self-esteem on long-term retention of participants, using secondary data from the “San Antonio Longitudinal Study of Aging” (SALSA), a population-based study of Mexican Americans (MAs) and European Americans (EAs) aged over 65 years residing in San Antonio, Texas. We tested the effect of social connectedness, self-esteem and socioeconomic status on participant retention in both ethnic groups. In MAs only, we analyzed whether acculturation and assimilation moderated these associations and/or had a direct effect on participant retention. ^ Low income, low frequency of social contacts and length of recruitment interval were significant predictors of non-completer status. Participants with low levels of social contacts were almost twice as likely as those with high levels of social contacts to be non-completers, even after adjustment for age, sex, ethnic group, education, household income, and recruitment interval (OR = 1.95, 95% CI: 1.26–3.01, p = 0.003). Recruitment interval consistently and strongly predicted non-completer status in all the models tested. Depending on the model, for each year beyond baseline there was a 25–33% greater likelihood of non-completion. The only significant interaction, or moderating, effect observed was between social contacts and cultural values among MAs. Specifically, MAs with both low social contacts and low acculturation on cultural values (i.e., placed high value on preserving Mexican cultural origins) were three and half times more likely to be non-completers compared with MAs in other subgroups comprised of the combination of these variables, even after adjustment for covariates. ^ Long term studies with older and minority participants are challenging for participant retention. Strategies can be designed to enhance retention by paying special attention to participants with low social contacts and, in MAs, participants with both low social contacts and low acculturation on cultural values. Minimizing the time interval between baseline and follow-up recruitment, and maintaining frequent contact with participants during this interval should also be is integral to the study design.^

Building the View Graph of a Category by Exploiting Image Realism

We propose a weakly supervised method to arrange images of a given category based on the relative pose between the camera and the object in the scene. Relative poses are points on a sphere centered at the object in a given canonical pose, which we call object viewpoints. Our method builds a graph on this sphere by assigning images with similar viewpoint to the same node and by connecting nodes if they are related by a small rotation. The key idea is to exploit a large unlabeled dataset to validate the likelihood of dominant 3D planes of the object geometry. A number of 3D plane hypotheses are evaluated by applying small 3D rotations to each hypothesis and by measuring how well the deformed images match other images in the dataset. Correct hypotheses will result in deformed images that correspond to plausible views of the object, and thus will likely match well other images in the same category. The identified 3D planes are then used to compute affinities between images related by a change of viewpoint. We then use the affinities to build a view graph via a greedy method and the maximum spanning tree.

La Casa Domínguez. Alejandro de la Sota: Construir - Habitar

La Tesis Doctoral nace con una intensa vocación pedagógica. La hipótesis de trabajo se establece en torno a una cuestión de interés personal, un tema sobre el que se vertebran, desde el comienzo del doctorado, los diferentes cursos y trabajos de investigación: LA CASA DOMÍNGUEZ como paradigma de la dialéctica en la obra de Alejandro de la Sota. La clasificación de la realidad en categorías antagónicas determina un orden conceptual polarizado, una red de filiaciones excluyentes sobre las que Sota construye su personal protocolo operativo: la arquitectura intelectual o popular, experimental o tradicional, universal o local, ligera o pesada, elevada o enterrada, etc. Se propone el abordaje de una cuestión latente en el conjunto de la obra ‘sotiana’, desde la disección y el análisis de una de sus obras más pequeñas: la casa Domínguez. Se trata de una organización sin precedentes, que eleva la estrategia dialéctica al paroxismo: la vivienda se separa en dos estratos independientes, la zona de día, elevada, y la zona de noche, enterrada; cada uno de los estratos establece su propio orden geométrico y constructivo, su propio lenguaje y carácter, su propia identidad e incluso su propio presupuesto. Las relaciones entre interior y exterior se especializan en función de la actividad o el reposo, estableciéndose una compleja red de relaciones, algunas evidentes y otras celosamente veladas, entre los diferentes niveles. La estancia destinada a las tareas activas se proyecta como un objeto de armazón ligero y piel fría; la precisa geometría del cubo delimita la estancia vigilante sobre el paisaje conquistado. La ladera habitada se destina al reposo y se configura como una topografía verde bajo la que se desarrollan los dormitorios en torno a patios, grietas y lucernarios, generando un paisaje propio: la construcción del objeto frente a la construcción del lugar La casa Domínguez constituye uno de los proyectos menos estudiados, y por lo tanto menos celebrados, de la obra de Don Alejandro. Las publicaciones sucesivas reproducen la documentación gráfica junto a la memoria (epopeya) que el propio Sota compone para la publicación del proyecto. Apenas un par de breves textos críticos de Miguel Ángel Baldellou y, recientemente de Moisés Puente, abordan la vivienda como tema monográfico. Sin embargo, la producción de proyecto y obra ocupó a De la Sota un periodo no inferior a diez años, con casi cien planos dibujados para dos versiones de proyecto, la primera de ellas, inédita. El empeño por determinar hasta el último detalle de la ‘pequeña’ obra, conduce a Sota a controlar incluso el mobiliario interior, como hiciera en otras obras ‘importantes’ como el Gobierno Civil de Tarragona, el colegio mayor César Carlos o el edificio de Correos y Telecomunicaciones de León. La complicidad del cliente, mantenida durante casi cuarenta años, habilita el despliegue de una importante colección de recursos y herramientas de proyecto. La elección de la casa Domínguez como tema central de la tesis persigue por lo tanto un triple objetivo: en primer lugar, el abordaje del proyecto como paradigma de la dialéctica ‘sotiana’, analizando la coherencia entre el discurso de carácter heroico y la obra finalmente construida; en segundo lugar, la investigación rigurosa, de corte científico, desde la disección y progresivo desmontaje del objeto arquitectónico; y por último, la reflexión sobre los temas y dispositivos de proyecto que codifican la identificación entre la acción de construir y el hecho de habitar, registrando los aciertos y valorando con actitud crítica aquellos elementos poco coherentes con el orden interno de la propuesta. This doctoral thesis is the fruit of a profound pedagogical vocation. The central hypothesis was inspired by a question of great personal interest, and this interest has, since the very beginning of the doctorate, been the driving force behind all subsequent lines of research and investigation. The “Casa Domínguez” represents a paradigm of the dialectics found in the work of Alejandro de la Sota. The perception of reality as antagonistic categories determines a polarized conceptual order, a network of mutually excluding associations upon which Sota builds his own personal operative protocol: intellectual or popular architecture, experimental or traditional, universal or local, heavy or light, above or below ground, etc. Through the analysis and dissection of the “Casa Domínguez”, one of Sota’s smallest projects, an attempt is made to approach the underlying question posed in “Sotian” work as a whole. This is about organization without precedent, raising the strategic dialectics to levels of paroxysm. The house is divided into two separate levels, the day-time level above ground, and the lower night-time level beneath the surface of the ground. Each level has its own geometrical and stuctural order, its own language and character, its own identity and even has its own construction budget. The interaction between the two areas is centered on the two functions of rest and activity, and this in turn establishes a complex relationship network between both, which is sometimes self-evident, but at other times jealously guarded. The living area designed for daily activity is presented as an object of light structure and delicate skin; the precise geometry of the cube delimiting the ever watchful living area’s domain over the land it has conquered. A green topography is created on the slope below which lies an area adapted for rest and relaxation. Two bedrooms, built around patios, skylights and light crevices, generate an entirely independent environment: the construction of an object as opposed to the creation of a landscape. The “Casa Domínguez” project has been subject to much less scrutiny and examination than Don Alejandro’s other works, and is consequently less well-known. A succession of journals have printed the blueprint document together with a poetic description (epopee), composed by Sota himself, to mark the project’s publication. There has, however, scarcely been more than two brief critical appraisals, those by Miguel Ángel Baldellou and more recently by Moisés Puente, that have regarded the project as a monographic work. The project and works nevertheless occupied no less than ten years of De La Sota’s life, with over a hundred draft drawings for two separate versions of the project, the first of which remains unpublished. The sheer determination to design this “small” work in the most meticulous detail, drove Sota to manage and select its interior furniture, as indeed he had previously done with more “important” works like the Tarragona Civil Government, César Carlos College, or the Post Office telecommunications building in León. Client collaboration, maintained over a period of almost forty years, has facilitated an impressive array of the project’s tools and resources. The choice of “Casa Domínguez” as the central subject matter of this thesis, was made in pursuance of a triple objective: firstly, to approach the project as a paradigm of the “Sotian” dialectic, the analysis of the discourse between the heroic character and the finished building; secondly, a rigorous scientific investigation, and progressive disassembling and dissecting of the architectonic object; and finally, a reflection on aspects of the project and its technology which codify the identification between the action of construction and the reality of living, thus marking its achievements, whilst at the same time subjecting incoherent elements of the proposal’s established order to a critical evaluation.

A User Centered Design Approach for Patient Interfaces to a Diabetes IT Platform

Improving patient self-management can have a greater impact than improving any clinical treatment (WHO). We propose here a systematic and comprehensive user centered design approach for delivering a technological platform for diabetes disease management. The system was developed under the METABO research project framework, involving patients from 3 different clinical centers in Parma, Modena and Madrid.

An iPhone-based application for promoting type 2 diabetic patients self- management towards healthy lifestyle habits

— In 2000, according to the World Health Organization, at least 171 million people, 2.8% of the population worldwide, suffered from diabetes. The Centres for Disease Control has defined it as an epidemic disease. Its incidence is increasing rapidly, and it is estimated that by 2030 this number will almost double. Diabetes mellitus occurs throughout the world, but is more common (especially type 2) in the more developed countries. Diabetes is a chronic condition that occurs when pancreas does not assure enough insulin secretion or when the body does not consume the insulin produced. Insulin is a hormone that regulates blood sugar. The effect of uncontrolled diabetes is the hyperglycaemia (blood sugar), which eventually seriously damage many organs and systems, especially the nerves and blood vessels. Diabetes type 2 (most common type of diabetes) is highly correlated with elderly people, obesity or overweight. Promoting a healthy lifestyle helps patients to improve their quality of life and in many cases to avoid complications related to the disease. This paper is intended to describe an iPhone-based application for self-management of type 2 diabetic patients, which allow them improving their lifestyle through healthy diet, physical activity and education

Harmony: Towards automated self-adaptive consistency in cloud storage

In just a few years cloud computing has become a very popular paradigm and a business success story, with storage being one of the key features. To achieve high data availability, cloud storage services rely on replication. In this context, one major challenge is data consistency. In contrast to traditional approaches that are mostly based on strong consistency, many cloud storage services opt for weaker consistency models in order to achieve better availability and performance. This comes at the cost of a high probability of stale data being read, as the replicas involved in the reads may not always have the most recent write. In this paper, we propose a novel approach, named Harmony, which adaptively tunes the consistency level at run-time according to the application requirements. The key idea behind Harmony is an intelligent estimation model of stale reads, allowing to elastically scale up or down the number of replicas involved in read operations to maintain a low (possibly zero) tolerable fraction of stale reads. As a result, Harmony can meet the desired consistency of the applications while achieving good performance. We have implemented Harmony and performed extensive evaluations with the Cassandra cloud storage on Grid?5000 testbed and on Amazon EC2. The results show that Harmony can achieve good performance without exceeding the tolerated number of stale reads. For instance, in contrast to the static eventual consistency used in Cassandra, Harmony reduces the stale data being read by almost 80% while adding only minimal latency. Meanwhile, it improves the throughput of the system by 45% while maintaining the desired consistency requirements of the applications when compared to the strong consistency model in Cassandra.

Self-organizing cultured neural networks: Image analysis techniques for longitudinal tracking and modeling of the underlying network structure

Esta tesis estudia la evolución estructural de conjuntos de neuronas como la capacidad de auto-organización desde conjuntos de neuronas separadas hasta que forman una red (clusterizada) compleja. Esta tesis contribuye con el diseño e implementación de un algoritmo no supervisado de segmentación basado en grafos con un coste computacional muy bajo. Este algoritmo proporciona de forma automática la estructura completa de la red a partir de imágenes de cultivos neuronales tomadas con microscopios de fase con una resolución muy alta. La estructura de la red es representada mediante un objeto matemático (matriz) cuyos nodos representan a las neuronas o grupos de neuronas y los enlaces son las conexiones reconstruidas entre ellos. Este algoritmo extrae también otras medidas morfológicas importantes que caracterizan a las neuronas y a las neuritas. A diferencia de otros algoritmos hasta el momento, que necesitan de fluorescencia y técnicas inmunocitoquímicas, el algoritmo propuesto permite el estudio longitudinal de forma no invasiva posibilitando el estudio durante la formación de un cultivo. Además, esta tesis, estudia de forma sistemática un grupo de variables topológicas que garantizan la posibilidad de cuantificar e investigar la progresión de las características principales durante el proceso de auto-organización del cultivo. Nuestros resultados muestran la existencia de un estado concreto correspondiente a redes con configuracin small-world y la emergencia de propiedades a micro- y meso-escala de la estructura de la red. Finalmente, identificamos los procesos físicos principales que guían las transformaciones morfológicas de los cultivos y proponemos un modelo de crecimiento de red que reproduce el comportamiento cuantitativamente de las observaciones experimentales. ABSTRACT The thesis analyzes the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. In particular, it contributes with the design and implementation of a graph-based unsupervised segmentation algorithm, having an associated very low computational cost. The processing automatically retrieves the whole network structure from large scale phase-contrast images taken at high resolution throughout the entire life of a cultured neuronal network. The network structure is represented by a mathematical object (a matrix) in which nodes are identified neurons or neurons clusters, and links are the reconstructed connections between them. The algorithm is also able to extract any other relevant morphological information characterizing neurons and neurites. More importantly, and at variance with other segmentation methods that require fluorescence imaging from immunocyto- chemistry techniques, our measures are non invasive and entitle us to carry out a fully longitudinal analysis during the maturation of a single culture. In turn, a systematic statistical analysis of a group of topological observables grants us the possibility of quantifying and tracking the progression of the main networks characteristics during the self-organization process of the culture. Our results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graphs micro- and meso-scale properties emerge. Finally, we identify the main physical processes taking place during the cultures morphological transformations, and embed them into a simplified growth model that quantitatively reproduces the overall set of experimental observations.

Self-organizing cultured neural networks: Image analysis techniques for longitudinal tracking and modeling of the underlying network structure (versión actualizada)

Esta tesis estudia la evolución estructural de conjuntos de neuronas como la capacidad de auto-organización desde conjuntos de neuronas separadas hasta que forman una red (clusterizada) compleja. Esta tesis contribuye con el diseño e implementación de un algoritmo no supervisado de segmentación basado en grafos con un coste computacional muy bajo. Este algoritmo proporciona de forma automática la estructura completa de la red a partir de imágenes de cultivos neuronales tomadas con microscopios de fase con una resolución muy alta. La estructura de la red es representada mediante un objeto matemático (matriz) cuyos nodos representan a las neuronas o grupos de neuronas y los enlaces son las conexiones reconstruidas entre ellos. Este algoritmo extrae también otras medidas morfológicas importantes que caracterizan a las neuronas y a las neuritas. A diferencia de otros algoritmos hasta el momento, que necesitan de fluorescencia y técnicas inmunocitoquímicas, el algoritmo propuesto permite el estudio longitudinal de forma no invasiva posibilitando el estudio durante la formación de un cultivo. Además, esta tesis, estudia de forma sistemática un grupo de variables topológicas que garantizan la posibilidad de cuantificar e investigar la progresión de las características principales durante el proceso de auto-organización del cultivo. Nuestros resultados muestran la existencia de un estado concreto correspondiente a redes con configuracin small-world y la emergencia de propiedades a micro- y meso-escala de la estructura de la red. Finalmente, identificamos los procesos físicos principales que guían las transformaciones morfológicas de los cultivos y proponemos un modelo de crecimiento de red que reproduce el comportamiento cuantitativamente de las observaciones experimentales. ABSTRACT The thesis analyzes the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. In particular, it contributes with the design and implementation of a graph-based unsupervised segmentation algorithm, having an associated very low computational cost. The processing automatically retrieves the whole network structure from large scale phase-contrast images taken at high resolution throughout the entire life of a cultured neuronal network. The network structure is represented by a mathematical object (a matrix) in which nodes are identified neurons or neurons clusters, and links are the reconstructed connections between them. The algorithm is also able to extract any other relevant morphological information characterizing neurons and neurites. More importantly, and at variance with other segmentation methods that require fluorescence imaging from immunocyto- chemistry techniques, our measures are non invasive and entitle us to carry out a fully longitudinal analysis during the maturation of a single culture. In turn, a systematic statistical analysis of a group of topological observables grants us the possibility of quantifying and tracking the progression of the main networks characteristics during the self-organization process of the culture. Our results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graphs micro- and meso-scale properties emerge. Finally, we identify the main physical processes taking place during the cultures morphological transformations, and embed them into a simplified growth model that quantitatively reproduces the overall set of experimental observations.