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techniques have been developed to overcome this drawback. Among them we focus on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image
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immunity Immunometabolism and metabolic-immune crosstalk Advanced imaging of immune responses Systems immunology and integrative approaches Proposals that bridge immunology with other areas such as infection
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reconstructing the super-resolved image is formalized as an inverse problem which is regularized by introducing suitable sparsity constraint. In our team, we have recently proposed both model-based and data-driven
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, but are not limited to, neural coding in the visual cortex, multimodal information processing, state-dependent processing, visual perception, development of imaging tools for in vivo neuronal recordings
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algorithms will be developed to extract discriminative and predictive features from a multimodal dataset consisting of digital histopathological images, lung CT images, clinical, genomics, and multiproteomics
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bachelor programmes - Midwifery and radiographer/clinical imaging - are set to commence in September 2025. These programmes are organized by combining theoretical training as well as simulations using
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to microwaves, and will image the displacement of magnetic textures by currents, to quantify their efficiency in the generation of orbital currents and torques. Our approach will rely on the realization of new
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behavioral assays in the animal models Immunohistochemical analysis of neuronal, astroglial and microglial markers in zebrafish and mouse brain samples In vivo imaging of specific brain cells in the transgenic
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measurements by LiDAR and images. While images are dense 2D grids, point clouds made by LiDARs are sparse and unstructured. This difference gives rise to the central question of LiDAR-camera fusion, that is to
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English Candidates with experience in cell culture are encouraged to apply. Experience with imaging, molecular biology, hydrogels, chemistry, microfabrication and microfluidics are highly desirable