Добірка наукової літератури з теми "Réseaux de fibres dynamiques en 3D"
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Статті в журналах з теми "Réseaux de fibres dynamiques en 3D":
DESSAUGE, Frédéric, Cindy SCHLEDER, Marie-Héléne PERRUCHOT, and Karl ROUGER. "Développement des modèles de culture cellulaire de muscle en 3D : de nouvelles opportunités pour les productions animales." INRAE Productions Animales 36, no. 2 (September 13, 2023). http://dx.doi.org/10.20870/productions-animales.2023.36.2.7626.
Дисертації з теми "Réseaux de fibres dynamiques en 3D":
Chassonnery, Pauline. "Modélisation mathématique en 3D de l'émergence de l'architecture des tissus conjonctifs." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30354.
In this thesis, we investigate whether simple local mechanical interactions between a reduced set of components could govern the emergence of the 3D architecture of biological tissues. To explore this hypothesis, we develop two mathematical models. The first one, ECMmorpho-3D, aims at reproducing a non-specialised connective tissue and is reduced to the Extra-Cellular Matrix (ECM) component, that is a 3D dynamically connected fibre network. The second, ATmorpho-3D, is built by adding to this network spherical cells which spontaneously appear and grow in order to mimic the morphogenesis of Adipose Tissue (AT), a specialised connective tissue with major biomedical importance. We then construct a unified analysis framework to visualise, segment and quantitatively characterise the fibrous and cellular structures produced by our two models. It constitutes a generic tool for the 3D visualisation of systems composed of a mixture of spherical (cells) and rod-like (fibres) elements and for the automatic detection of in such systems of clusters of spherical objects separated by rod-like elements. This tool is also applicable to biological 3D microscopy images, enabling a comparison between in vivo and in silico structures. We study the structures produced by the model ECMmorpho-3D by performing numerical simula- tions. We show that this model is able to spontaneously generate different types of architectures, which we identify and characterise using our analysis framework. An in-depth parametric analysis lead us to identify an intermediate emerging variable, the number of crosslinks per fibre, which explains and partly predicts the fate of the modelled system. A temporal analysis reveals that the characteristic time-scale of the organisation process is a function of the network remodelling speed, and that all systems follow the same, unique evolutionary pathway. Finally, we use the model ATmorpho-3D to explore the influence of round cells over the organisation of a fibre network, taking as reference the model ECMmorpho-3D. We show that the number of cells can influence the local alignment of the fibres but not the global organisation of the network. On the other hand, the cells inside the network spontaneously organise into clusters with realistic morphological features very close to those of in vivo structures, surrounded by sheet-like fibre bundles. Moreover, the distribution of the different morphological types of clusters is similar in in silico and in vivo systems, suggesting that the model is able to produce realistic morphologies not only on the scale of one cluster but also on the scale of the whole system, reproducing the structural variability observed in biological samples. A parametric analysis reveals that the proportion in which each morphology is present in an in silico system is governed mainly by the remodelling characteristic of the fibres, pointing to the essential role of the ECM properties in AT architecture and function (in agreement with several biological results and previous 2D findings). The fact that these very simple mathematical models can produce realistic structures supports our hypothesis that biological tissues architecture could emerge spontaneously from local mechanical inter- actions between the tissue components, independently of the complex biological phenomena taking place around them. This opens many perspectives regarding our understanding of the fundamental principles governing how biological tissue architecture emerges during organogenesis, is maintained throughout life and can be affected by various pathological conditions. Potential applications range from tissue engineering to therapeutic treatment inducing regeneration in adult mammals
Rolland, du Roscoat Sabine. "Contribution à la quantification 3D de réseaux fibreux par microtomographie au rayonnement synchrotron : applications aux papiers." Grenoble INPG, 2007. http://www.theses.fr/2007INPG0068.
This thesis focuses on the quantification of cellulosic fibrous materials. Ln order to link paper making variables, structures and end-use properties, samples were imaged by synchrotron microtomography. Image analysis tools were developed and applied to quantify paper structure (porosity, specifie surface misotropy, filler content). It appeared that our data are representative from a microstructural point of view. Therefore structural results were compared to the models found in the literature. Moreover, sample environments were developed to study in-situ the effect of deformation and humidity on paper structure. On the other hand, attention is focused on the prediction and the modelling of paper properties by solving in this particular case the radiative transfer equation
Faessel, Matthieu. "Modélisation 3D de réseaux fibreux : un outil pour l'étude des interactions microstructure-propriétés de panneaux de fibres." Bordeaux 1, 2003. http://www.theses.fr/2003BOR12781.
Greffard, Nicolas. "Visualisation stéréoscopique et interactive de structures en communautés dans des graphes." Phd thesis, Université de Nantes, 2013. http://tel.archives-ouvertes.fr/tel-01072368.
Greffard, Nicolas. "Visualisation stéréoscopique et interactive de structures en communautés dans des graphes." Phd thesis, Nantes, 2013. https://archive.bu.univ-nantes.fr/pollux/show/show?id=1a7138cf-3841-4f6d-9323-e301aebc9d4d.
Ever since the pioneering work of Moreno in 1934, social network analysis has always included drawings depicting relationships between actors. From these days, the graph visualization field has grown within the graph drawing and information visualization communities. Besides the algorithmic and combinatoric questions arising from graph drawings, new challenges now include networks visual data mining. Usually referred to as visual analytics it involves the integration of the user at the heart of the analysis. In this thesis, we focus on interactive and stereoscopic visual restitutions allowing the user to drive the mining process. Using a ad hoc experimental environment, we try to assert their its impact on a popular task of community detection. Through several experiments, we show that for a specific class of graphs, 2D seems more adapted for the easier graphs while stereoscopic 3D is beneficial for the more complex ones. We also identify some differences in the interactions between the stereo and mono conditions, which seems to indicate behavioral differences emerging from differing interaction strategies. We also propose some prospects such as the implementation of a library allowing hands-free interactions adapted to visual mining in front of a large screen
Boussier, Jean-Marie. "Modélisation de comportements dans les systèmes dynamiques : Application à l'organisation et à la régulation de stationnement et de déplacement dans les Systèmes de Trafic Urbain." Phd thesis, Université de La Rochelle, 2007. http://tel.archives-ouvertes.fr/tel-00411272.