Bretagne-LoireNODE

MicroPICell is an imaging facility specialized in sample preparation (histology), cellular and tissular imaging (photonic microscopy) and data processing and analysis (bioimage analysis). The facility is located within the precinct of the Hotel Dieu hospital, Nantes University. The platform is affiliated to the Structure Federative de Recherche UMS INSERM 016/CNRS 3556/Nantes University and teamed up with Nikon Instrument society and the APEX veterinary facility to create the Center of Excellence Nikon Nantes in 2016. The MicroPICell facility offers a complete integrated cellular imaging service to all users after analysis of the feasibility of their projects. The applications range is then very large, for example cancer research and immunology, regenerative medicine or stem cells research. It is organized in 3 main services: histology, photonic microscopy, image data management and analysis, all these services working closely together on users projects.

The platform provides regulated access to imaging systems, as well as scientific and technical assistance in the design of projects and experiments. Proposed techniques are: epifluorescence, video microscopy, confocal, spinning disk, multiphoton, lightsheet, TEM, cryo-electron microscopy, high pressure freezing, tomography, immuno-electron microscopy.
Backed by research teams, the platform also has a strong R&D activity dedicated to the design of prototype microscopes. Finally, MRic provides training to microscopy techniques.

The SIMS Group (Signal, Image and Sound) develops its research in the field of statistical signal and image processing. Tackling ill-posed inverse problems such as deconvolution and diffraction tomography is one of our main fields of expertise. We also focus on computational imaging issues, relying on mathematical tools from both optimization and Bayesian simulation fields. The optimal co-design of computational imaging systems is among our growing topics of interest, with the viewpoint of information theory. In the area of fluorescence microscopy, we investigate the superresolution capacity of random illumination microscopy, in collaboration with Institut Fresnel (Marseille) and the Centre for Integrative Biology (Toulouse).

The team aims at developing techniques and methodologies in fluorescence microscopy to study dynamics of protein-protein interactions and biochemical activities in live sample. Team approaches are mainly driven by methodological and technological development, its transfer and its applicability in biology to answer relevant new questions. Recently, the team is investigating the possibility to implement smart and autonomous microscopy approches to be able to develop robust and automated high content microscopy pipelines of cutting-edge methods such as F-microscopy or photoperturbative experiments.

The H2P2 platform performs histology work on human, animal and plant tissues. The facility is equipped with last generation devices to increase analysis reproducibility and ensure rapid automatic processing. We produce Tissues Micro Array (TMA) that can group hundreds of tissulars spots on a single microscope slide. We have developed a thorough expertise in immuno-labeling (more than 500 Ac in our catalog) as well as multiplex staining, a technique that can highlight up to 6 different proteins per slide, fluorescence or chromogenic. To visualize slides we offer several options: epifluorescence microscope, virtual slides from a Hamamatsu scanner with fluorescence and a new generation confocal scanner (3D-Histech) with seven channels in fluorescence.  This latter technology gives the opportunity to scan thick tissues (300µm) after clearing. Slides are analysed in 2D using Halo, an image analysis platform/software (with machine learning) for quantitative tissue analysis in digital pathology.  We perform 3D images routinely and advanced analysis reconstruction with Amira. We also developed extensive expertise in laser capture microdissection, allowing single cells capture. We are developing in situ molecular technologies, as Raman micro spectroscopy imaging on biological samples with statistical analysis of obtained spectra.