Síntesi de nous compostos tipus catecol amb aplicació en materials funcionals

En el nostre grup d’investigació i en col·laboració amb el grup d’investigació del doctor Daniel Ruiz-Molina del Centre d’investigació en Nanociència i Nanotecnologia (CIN2) d’aquest campus universitari, hem iniciat un projecte que es planteja aconseguir biomimetitzar certes proteïnes adhesives de mol·luscs, en que la seva adherència es deu a la presència de la funcionalitat catecol. Aprofitant aquesta propietat adhesiva dels catecols, l’objectiu és poder desenvolupar nous materials per a recobriments hidro- i oleofòbics, i nous materials adhesius sent necessari el desenvolupament de protocols sintètics per a l’obtenció de compostos tipus catecol convenientment substituïts. En el present treball de recerca s’ha aconseguit la síntesi del nou catecol 10, que presenta en la seva estructura una cadena alquílica parcialment fluorada amb la finalitat de fer-ne recobriments hidro- i oleofòbics, i l’optimització i escalat del catecol 2, que presenta una cadena alquílica, amb la finalitat de fer-ne recobriments hidrofòbics. També s’ha explorat en la síntesi de catecols amb una funcionalitat tiol amb la finalitat de poder desenvolupar superfícies o nanopartícules d’or adhesives. Partint del producte comercial 17, s’ha aconseguit obtenir 10 en tres etapes sintètiques i un rendiment global del 57% i 2 en dues etapes sintètiques i un rendiment global del 63% a escala multigram, millorant la metodologia sintètica existent que consistia en quatre etapes sintètiques i un 48% de rendiment global.

Caracterización funcional de las HERC ubiquitina ligasas en modelos in vivo

La família de proteïnes HERC contenen dos dominis característics: HECT i RLD (RCC1-like). Proteïnes amb dominis HECT funcionen com ubiquitina ligasas i proteïnes amb dominis RLD actuen com a reguladors de GTPases. En humans, la família HERC està formada per sis membres: les gegants (HERC1-2) i les petites (HERC3-6). HERC1 va ser la primera a identificar-se, conté dos dominis RLD (RLD1 i RLD2) i ha estat implicada en tràfic de membrana, proliferació i creixement cel.lular per les seves interaccions amb clatrina, M2-piruvat quinasa i tuberina (TSC2). Aquí es descriu la caracterització del ratolí "rescat" d'una mutació espontània i recessiva anomenada tambaleante, que causa una degeneració progressiva de les cèl.lules de Purkinje amb atàxia severa, un creixement reduït i una menor supervivència. Aquest rescat va ser realitzat amb un transgèn de cDNA de HERC1 humà i demostra que HERC1 és el responsable del fenotip oscil.lant. Hem generats animals knock-outs de HERC1 que no expressen el extremo ubiquitina ligasa de la proteïna, i que no mimetitzen el fenotip tambaleante. La resposta de MEFs de tambaleante a insulina tampoc mimetitza l'activació reduïda dels substrats de mTOR, ni l'autofàgia observats en l'animal tambaleante. Els nostres resultats suggereixen que HERC1 podria estar implicada en la regulació de la biogènesi ribosomal. Aquestes observacions contribueixen a la caracterització funcional de la ubiquitina ligasa HERC1 i demostren un paper fins ara desconegut de HERC1 en creixement i neurodegeneració.

“Unmixing” Tissue Gene Expression Signatures from Tumor Biopsies

Emergent molecular measurement methods, such as DNA microarray, qRTPCR, andmany others, offer tremendous promise for the personalized treatment of cancer. Thesetechnologies measure the amount of specific proteins, RNA, DNA or other moleculartargets from tumor specimens with the goal of “fingerprinting” individual cancers. Tumorspecimens are heterogeneous; an individual specimen typically contains unknownamounts of multiple tissues types. Thus, the measured molecular concentrations resultfrom an unknown mixture of tissue types, and must be normalized to account for thecomposition of the mixture.For example, a breast tumor biopsy may contain normal, dysplastic and cancerousepithelial cells, as well as stromal components (fatty and connective tissue) and bloodand lymphatic vessels. Our diagnostic interest focuses solely on the dysplastic andcancerous epithelial cells. The remaining tissue components serve to “contaminate”the signal of interest. The proportion of each of the tissue components changes asa function of patient characteristics (e.g., age), and varies spatially across the tumorregion. Because each of the tissue components produces a different molecular signature,and the amount of each tissue type is specimen dependent, we must estimate the tissuecomposition of the specimen, and adjust the molecular signal for this composition.Using the idea of a chemical mass balance, we consider the total measured concentrationsto be a weighted sum of the individual tissue signatures, where weightsare determined by the relative amounts of the different tissue types. We develop acompositional source apportionment model to estimate the relative amounts of tissuecomponents in a tumor specimen. We then use these estimates to infer the tissuespecificconcentrations of key molecular targets for sub-typing individual tumors. Weanticipate these specific measurements will greatly improve our ability to discriminatebetween different classes of tumors, and allow more precise matching of each patient tothe appropriate treatment

Recovering Euclidean deformable models from stereo-motion

In this paper we present a novel structure from motion (SfM) approach able to infer 3D deformable models from uncalibrated stereo images. Using a stereo setup dramatically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. Our approach first calibrates the stereo system automatically and then computes a single metric rigid structure for each frame. Afterwards, these 3D shapes are aligned to a reference view using a RANSAC method in order to compute the mean shape of the object and to select the subset of points on the object which have remained rigid throughout the sequence without deforming. The selected rigid points are then used to compute frame-wise shape registration and to extract the motion parameters robustly from frame to frame. Finally, all this information is used in a global optimization stage with bundle adjustment which allows to refine the frame-wise initial solution and also to recover the non-rigid 3D model. We show results on synthetic and real data that prove the performance of the proposed method even when there is no rigid motion in the original sequence

Surface registration from range image fusion

The registration of full 3-D models is an important task in computer vision. Range finders only reconstruct a partial view of the object. Many authors have proposed several techniques to register 3D surfaces from multiple views in which there are basically two aspects to consider. First, poor registration in which some sort of correspondences are established. Second, accurate registration in order to obtain a better solution. A survey of the most common techniques is presented and includes experimental results of some of them

Online Robust 3D Mapping Using Structure from Motion Cues

This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential structure from motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene

Omnidirectional Depth Computation from a Single Image

Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications

Accuracy estimation of a new omnidirectional 3D vision sensor

We present a computer vision system that associates omnidirectional vision with structured light with the aim of obtaining depth information for a 360 degrees field of view. The approach proposed in this article combines an omnidirectional camera with a panoramic laser projector. The article shows how the sensor is modelled and its accuracy is proved by means of experimental results. The proposed sensor provides useful information for robot navigation applications, pipe inspection, 3D scene modelling etc

Calibration of a Structured Light-Based Stereo Catadioptric Sensor

Catadioptric sensors are combinations of mirrors and lenses made in order to obtain a wide field of view. In this paper we propose a new sensor that has omnidirectional viewing ability and it also provides depth information about the nearby surrounding. The sensor is based on a conventional camera coupled with a laser emitter and two hyperbolic mirrors. Mathematical formulation and precise specifications of the intrinsic and extrinsic parameters of the sensor are discussed. Our approach overcomes limitations of the existing omni-directional sensors and eventually leads to reduced costs of production

A new optimised De Bruijn coding strategy for structured light patterns

Coded structured light is an optical technique based on active stereovision that obtains the shape of objects. One shot techniques are based on projecting a unique light pattern with an LCD projector so that grabbing an image with a camera, a large number of correspondences can be obtained. Then, a 3D reconstruction of the illuminated object can be recovered by means of triangulation. The most used strategy to encode one-shot patterns is based on De Bruijn sequences. In This work a new way to design patterns using this type of sequences is presented. The new coding strategy minimises the number of required colours and maximises both the resolution and the accuracy

Overview of coded light projection techniques for automatic 3D profiling

Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

Implementation of a robust coded structured light technique for dynamic 3D measurements

This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of patterns onto a measuring surface and grabbing images of every projection with a camera. Analyzing the pattern deformations that appear in the images, 3D information of the surface can be calculated. The implemented technique projects a unique pattern so that it can be used to measure moving surfaces. The structure of the pattern is a grid where the color of the slits are selected using a De Bruijn sequence. Moreover, since both axis of the pattern are coded, the cross points of the grid have two codewords (which permits to reconstruct them very precisely), while pixels belonging to horizontal and vertical slits have also a codeword. Different sets of colors are used for horizontal and vertical slits, so the resulting pattern is invariant to rotation. Therefore, the alignment constraint between camera and projector considered by a lot of authors is not necessary

An overview of the advantages and constraints of coded pattern projection techniques for autonomous navigation

The absolute necessity of obtaining 3D information of structured and unknown environments in autonomous navigation reduce considerably the set of sensors that can be used. The necessity to know, at each time, the position of the mobile robot with respect to the scene is indispensable. Furthermore, this information must be obtained in the least computing time. Stereo vision is an attractive and widely used method, but, it is rather limited to make fast 3D surface maps, due to the correspondence problem. The spatial and temporal correspondence among images can be alleviated using a method based on structured light. This relationship can be directly found codifying the projected light; then each imaged region of the projected pattern carries the needed information to solve the correspondence problem. We present the most significant techniques, used in recent years, concerning the coded structured light method

L'ambient urbà i la criminalitat. Robatoris contra el patrimoni a la ciutat de Girona

L’estudi de la criminalitat és multifactorial, cal destriar en la mesura del possible els factorsambientals, d’entorn urbà, que poden jugar el paper de facilitadors de la delinqüència. Lestipologies delictives són diverses i amb motivacions "mòbils" diferenciats, el que confereixdificultats a l’estudi de la criminalitat, és per aquesta raó que es trien dues tipologies derobatoris contra el patrimoni per ser analitzats: robatoris amb força a interior de domicili(vivenda) i els furts, en un marc de ciutat petita-mitjana, com és el cas de Girona. Elconeixement per part de l’autor del marc urbà n’és un part essencial per desenvolupar l’estudi.Un dels objectius finalistes és aconseguir avançar en estudis de diagnosi criminal de les ciutats;així com en el coneixement dels patrons espaials que tenen les tipologies delictives i lainfluència de les característiques del disseny urbà sobre la criminalitat. La metodologia ques’implementarà serà: recerca bibliogràfica, estadística descriptiva i inferencial, sistemesd’informació geogràfica, així com la deducció a partir de la visualització de la cartografiagenerada i un treball de camp de les zones d’alta ocurrència delictiva dels delictes esmentats.Pel que fa a les hipòtesis principals: els robatoris contra el patrimoni no es concentren en àreesdegradades urbanísticament sinó ans el contrari en ambients urbans cuidats. Aquesta hipòtesies contraposa a la teoria criminal de la "Broken Windows", que esmenta que els espais urbansdegradats és on hi ha menys ocupació d’espai públic i més delinqüència. Una altra hipòtesiimportant és que els espais percebuts com a segurs, respecte les tipologies delictivesesmentades, són els més insegurs

Modelatge procedural d’edificis

L’objectiu d’aquest PFC és el desenvolupament d’una eina pel modelatge procedural d’edificis i altres estructures arquitectòniques. El modelatge d’edificis és, per si sol, un bon tema on aplicar‐hi la programació procedural. Un edifici normal compte sempre amb elements que es repeteixen en altura i amplada. El fet de “repetir” una tasca suggereix sempre l’aplicació d’algun tipus de procediment per tal de simplificar i reduir la feina de l’usuari a l’hora de desenvolupar aquesta feina