Projects

  • ANR MORPHEUS (Organoid Phenotypes Mapping and Modeling : Toward an Endocrine Disruptors Classification) – (EN description) (2021-2025): In this project we propose to use the cutting-edge organoid technology to test the toxicity of endocrine disruptors (EDCs) on human organs. The aim is to develop computational tools and models to allow the use of organoid technology for EDC toxicity testing. Participants: Metatox (Inserm), C3M and Morpheme.
  • CNRS IEA project VAMOS (Variable-Metric & inexact sparse Optimisation for Super-resolution microscopy) (2021-2023):The purpose of this project is the design novel sparse optimisation algorithms  for image microscopy inverse problems.  Participants: University of Florence and Morpheme.
  • UCA project Left-Right Organizer (2021): In this project we study the left-right organizer (LRO) of the zebrafish which is involved in the organ laterality. The zebrafish LRO is a vesicle in which a flow is produced by cillia beats. To study this flow we consider trajectories of endogenous and/or exogenous particles. Participants: iBV and Morpheme.
  • UCA IDEX/JEDI project Arch-AI-story (De l’objet au système : potentiel des mathématiques appliquées et de l’IA pour l’Archéologie et l’Histoire) (FR description) (2021) – The project focuses on the analysis of high-resolution imaging data (2D, 3D, Tomography) for the characterisation of objects at different scales such as frescoes, manuscripts, biological archives (wood, bones) and geological findings (pottery). It focuses in particular on the exploitation of the potential of appliedmathematiques and artificial intelligence to Archeology and Art history. Participants: CEPAM (PI: I. Therry-Parisot), CEMEF ant Inria (equipes Morpheme, Apics)
  • IDEX/UCA project SuperdynamicFun (2020) – The aim of this project is the development of a system of spatial and temporal super-resolution in fluctuating molecule microscopy capable of capturing the dynamics of organelles inside filamentous hyphal cells of Albicans fungi in their pathogenic form. Participants: iBV and Morpheme.
  • IDEX/UCA project LeftRigthReliable (2020) –  The objective of the project is to develop tools to track both endogenous and exogeneous particles in the Kupffer vesicule. Besides, we will propose a stochastic model of the particle trajectories to estimated the hitting position of the particles onto the membrane. Participants: iBV and Morpheme.
  • ANR CellWhisper (Quantitative real time analysis of the ERK pathway during embryogenesis – Cell-Whisper) – (EN description) (2019-2024): This systems biology project combines advanced quantitative live imaging, pharmacological/optogenetics perturbations and computational modelling to address major questions concerned with the study of embryogenesis pathways. Participants: CRBM (PI: P. Lemaire), LIRMM, MOSAIC and Morpheme.
  • ANR JCJC RUBIN-VASE (Redundancy-free neuro-biological design of visual and auditory sensing) (EN description) (2019-2023):  In this project we will design novel variational models defined in suitable functional spaces to translate the neurobiological principle of sensory efficient representation into mathematical terms. Participants: CNRS, L2S (PI: D. Prandi), University of Padova (Italy), INT (France) and Morpheme.
  • H2020 Research and Innovation Staff Exchange (RISE) program NoMADS (Nonlocal methods or arbitrary data sources) (2018-2023): the project focuses on data processing and analysis techniques which can feature potentially very complex, nonlocal, relationships within the data.  Participants: 21 academic and industrial partners (among which: University of Cambridge, UCLA, Carnagie Mellon University, University of Genova….)

 

  • Labex SIGNALIFE: Morpheme is a member of the SIGNALIFE Laboratory of Excellence. Florence Besse and Xavier Descombes are members of the Scientific Council. Florence Besse, Laure Blanc-Féraud, Xavier Descombes and Grégoire Malandain participated in selection committees of the LabeX PhD program.
    Participants: iBV, IRCAN, C3M, ISA, and Inria.
  • Inria Large-scale initiative Naviscope:  This action gathers the expertise of seven Inria research teams (Aviz, Beagle, Hybrid, Morpheme, Parietal, Serpico andMosaic) and other groups (MaIAGE, INRAE, Jouy-en-Josas and UMR 144, Institut Curie Paris) and aimed at developing original and cutting-edge visualization and navigation methods to assist scientists, enabling semi-automatic analysis, manipulation, and investigation of temporal series of multi-valued volumetric images, with a strong focus on live cell imaging and microscopy application domains.
  • 3IA Côte d’Azur: Laure Blanc-Féraud holds a chair on Imaging for biology within the research axis AI for computational biology and bio-inspired AI. 

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