• 
  Yekta Kesenci. Characterization of nuclear mechanics with physical models in fluorescence image microscopy. Quantitative Methods [q-bio.QM]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS648⟩. ⟨tel-04526093⟩
• 
  Samuel Kubler. Statistical methods for the robust extraction of objects’ spatio-temporal relations in bioimaging – Application to the functional analysis of neuronal networks in vivo. Modeling and Simulation. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS455⟩. ⟨tel-04475628⟩
• 
  Gabriel Martins, Fabrice Cordelières, Julien Colombelli, Rocco D’antuono, Ofra Golani, et al.. Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts: a success story and key asset for analysts and life scientists. F1000Research, 2021, 10, pp.334. ⟨10.12688/f1000research.25485.1⟩. ⟨hal-03214896⟩
• 
  Mathieu Boissan, Guillaume Montagnac, Qinfang Shen, Lorena Griparic, Jérome Guitton, et al.. Nucleoside diphosphate kinases fuel dynamin superfamily proteins with GTP for membrane remodeling. Science, 2014, 344 (6191), pp.1510 - 1515. ⟨10.1126/science.1253768⟩. ⟨hal-01870066⟩
• 
  Alison Hanson, Raphael Reme, Noah Telerman, Wataru Yamamoto, Jean-Christophe Olivo-Marin, et al.. Automatic monitoring of whole-body neural activity in behaving Hydra. 2023. ⟨pasteur-04270763⟩

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