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S. Huet

Publications and source records attributed to S. Huet.

5 recordsLinked to original sources

Label-free microscopy of mitotic chromosomes using the polarization Orthogonality Breaking technique

The vast majority of the microscopy methods currently available to study biological samples require staining prior to imaging. Nevertheless, the ability to reveal specific cell structures or organelles in a label-free manner remains desirable in different contexts. Polarization microscopy has long been considered as an interesting alternative to fluorescence-based methods in order to gain specificity on the imaged biological samples. In this work, we show how an original polarization imaging technique, implementing micro-wave photonics and referred to as orthogonality-breaking (OB) microscopy, can provide informative polarization images from a single scan of the cell sample in a fast and sensitive way. For OB imaging, the sample is probed with a laser setup simultaneously generating two orthogonal polarizations shifted in frequency by a few tens of MHz. If the imaged samples display some polarimetric properties, the orthogonality between the two polarizations is broken, leading to a beatnote interference signal that can be detected with a fast detector. The comparison of the images of various cell lines at different cell-cycle stages obtained by OB polarization microscopy and fluorescence confocal images shows that an endogenous polarimetric contrast arizes on compacted chromosomes during cell division. This technique paves the way to label-free real-time polarization imaging of mitotic chromosomes with further potential applications in histology and cancer diagnosis.

physics.bio-ph

Opinion dynamics on a group structured adaptive network

Many models have been proposed to analyze the evolution of opinion structure due to the interaction of individuals in their social environment. Such models analyze the spreading of ideas both in completely interacting backgrounds and on social networks, where each person has a finite set of interlocutors.Moreover, the investigation on the topological structure of social networks has been the object of several analyses, both from the theoretical and the empirical point of view. In this framework a particularly important area of study involves the community structure inside social networks.In this paper we analyze the reciprocal feedback between the opinions of the individuals and the structure of the interpersonal relationships at the level of community structures. For this purpose we define a group based random network and we study how this structure co-evolves with opinion dynamics processes. We observe that the adaptive network structure affects the opinion dynamics process helping the consensus formation. The results also show interesting behaviors also in regards to the size distribution of the groups and their correlation with opinion structure.

physics.soc-ph

When group level is different from the population level: an adaptive network with the Deffuant model

We propose a model coupling the classical opinion dynamics of the bounded confidence model, proposed by Deffuant et al., with an adaptive network forming a community or group structure. At each step, an individual can decide if it changes groups or interact on its opinion with one of its internal or external neighbour. If it decides to look at the group level, it changes groups if its opinion is far from the average of its group from more than a threshold. If it is the case, it joins the group which has proportionally the closest average opinion from its. If it decides to interact with one of its neighbour, it becomes closer in opinion to it when its opinion and the one of the selected-to-interact neighbour are less distant from the threshold. From the study of this coupled model, we discover some surprising behaviours compared to the known behaviour of the Deffuant bounded confidence model(BC): The coupled model exhibits a total consensus for an threshold value lower than the BC model; the distribution of sizes of the groups changes: some groups become larger while other decrease in size, sometimes until containing only one individual; from the point of view of the groups, the consensus remains for a large set of threshold values while, looking at the population level, there are a lot of opinion clusters.

physics.soc-ph

How opinion dynamics generates group hierarchies

We recently proposed a model coupling the evolution of the opinions of the individual with the local network topology. The opinion dynamics is based on the Bounded Confidence model. The social networks is based on a group concept where each individual is totally connected to the members of its group and is linked to the individuals of the other groups with a given probability. During a time step, the individual has to decide between discussing with a member of its own network and applying the opinion dynamics, or moving groups because it has an opinion far from the average opinion of its own group. One of the main results we obtained is that the group sizes, starting from an homogeneous situation can be strongly heterogeneous at the equilibrium state. This kind of heterogeneity can be identified in many real networks. In this paper we present the complete set of behaviours that this complex model can exhibit, at group level. In particular we will focus on the mechanisms that lead to the stability of the groups and the appearance of heterogeneity in sizes.

physics.soc-ph

Double Modelling of the Dynamic of Activities in Rural Municipalities

Land use choices and activity prevalence in a selected territory are determined by individual preferences constrained by the characteristic of the analysed zone: population density, soil properties, urbanization level and other similar factors can drive individuals to make different kind of decisions about their occupations. Different approaches can be used to describe land use change, occupation prevalence and their reciprocal inter-relation. In this paper we describe two different kinds of approaches: an agent based model, centred on individual choices and an aggregated model describing the evolution of activity prevalence in terms of coupled differential equation. We use and we compare the two models to analyse the effect of territorial constraints, like the lack of employment in determined sectors, on the possible activity prevalence scenarios.

physics.soc-ph