Optical Imaging

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  • Confocal microendoscopy in Barrett’s esophagus: methods for the evaluation of the cellular architecture and of the functional and morphological alterations of the esophageal mucosa. Identification and classification of mucosal alterations (gastric metaplasia, intestinal metaplasia, high grade displasia, neoplasia) to provide a target for biopsies and quantitative markers for cancer surveillance.

    Quantitative ultrasound

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    • Small joint morphology: detection of markers from 2D and 3D images of the small joints. Automatic assessment of synovial shape and dimension
    • Synovial perfusion: perfusion identification and modelling of the local perfusion within the synovia. Detection and characterization of perfusion patterns linked to different underlying diseases or substrates. Develop methods for an accurate differential diagnosis of rheumatic diseases based on the perfusion patterns and imaging biomarkers.

      Quantitative Magnetic Resonance Imaging

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      • Functional magnetic resonance imaging (fMRI): functional connectivity, dynamic causal modelling to study the effective connectivity during tasks or in resting state; assessment of cerebral hemodynamic impairment thought fMRI data analysis, methods to integrate EEG & fMRI.

        Quantitative Positron Emission Tomography imaging

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        • Development of novel models and estimation methods for quantitative PET imaging: compartmental models, input/output models, Variational Bayesian methods for voxel-wise quantification, Non-linear mixed effect modelling approach, Multi-scale hierarchical approaches for parametric mapping.

          Modeling of cell biology

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          Research activities:

          Multiscale modeling of secretion

          Submitted by zennaro2 on

          • Theoretical and computational coupling between cellular dynamics and whole-body patterns of insulin secretion during clinical tests
          • Modeling of the interplay between Ca2+ dynamics, granule pool depletion, and insulin secretion at the level of single pancreatic islets
          • Cellular and inter-islet heterogeneity: importance for dynamic in vivo responses
          • Multiscale modeling of glucagon and GLP-1 secretion

          Molecular control of exocytosis

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          • Spatio-temporal modeling of nanoscale Ca2+ dynamics near ion channels in pancreatic alpha- and beta-cells and pituitary cells
          • Statistical analysis of relations between Ca2+ and protein levels at secretory granules and exocytosis
          • Modeling of kinetics and molecular control of granule docking and priming prior to exocytosis

          Modeling of cell biology

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          Electrical activity in endocrine cells

          Submitted by zennaro2 on

          • Theoretical investigations of human pancreatic beta-cells: heterogeneous and non-intuitive electrophysiological responses to ion channel antagonists; slow oscillations due to glycolytic oscillations; paracrine signals; gap junction coupling
          • Modeling of pancreatic alpha-cells: simulations of electrical activity; micro-RNA mediated effects on electrophysiology and exocytosis; glucose-sensing mechanisms including the roles of SGLT2 and K(ATP)-channels; cAMP-mediated effects downstream of electrical activity

            Smart Environments

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            Today's society is increasingly being embedded with technology that can interact with humans in a large scale interconnected world. We refer to the contexts where this new paradigmatic societal change is happening as smart environments. Our department is working on specific smart environments: 

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