BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells | Scientific Reports
Collège de France - Symposium de microbiologie du 27 avril 2009 - Jean-Christophe Olivo-Marin - Médiathèque de Biarritz
Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics | Nature Communications
Jean-Christophe Olivo-Marin | Bio Image Analysis
Jean-Christophe Olivo-Marin - Biological Image Analysis - Research - Institut Pasteur
14th IEEE EMBS International Summer School on Biomedical Imaging ::..
Loop | Jean-Christophe Olivo-Marin
PAST-FR Authors: Alexandre C. Dufour, Jean-Christophe Olivo-Marin Email: jcolivo@pasteur.fr Platform: Linux Prerequisites: None
EPS-UC3M on Twitter: "📌#SeminarioUC3M Cátedra de Excelencia #UC3M-Santander: Spatial statistics in bioimage analysis 📅23/11/21 ⏰De 13h a 15h 👥Profesor Jean Christophe Olivo-Marin (Institut Pasteur, Paris) 🌐Aula de Grados @EPS_UC3M ▶️https://t.co ...
ICPR2020 Paper Browser
PhD Thesis - M. Marim"
Jean-Christophe Olivo-Marin
14th IEEE EMBS-SPS International Summer School on Biomedical Imaging | IMT Atlantique
Jean-Christophe Olivo-Marin's research works | Institut Pasteur, Paris and other places
BioImagingUK on Twitter: "Jean-Christophe Olivo-Marin from the @institutpasteur talking at #elmi2018 about new ways to look at colocalisation #microscopy https://t.co/2iavn3ZsAP https://t.co/fQrcyxt4AN" / Twitter
SODA, un nouvel outil d'analyse pour l'imagerie à fluorescence ⋅ Inserm, La science pour la santé
Jean-Christophe Olivo - Responsable Formations techniques Industrielles - Pôle Formation UIMM - Bretagne | LinkedIn
Jean-Christophe Olivo-Marin - Research - Institut Pasteur
Jean-Christophe Olivo-Marin | Bio Image Analysis
Collège de France - Symposium de microbiologie du 27 avril 2009 - Jean-Christophe Olivo-Marin | Canal U
COMPTE RENDU REUNION DU BUREAU EXECUTIF
Jean-Christophe Olivo-Marin - Biological Image Analysis - Research - Institut Pasteur
MOVIE CRUNCHING IN BIOLOGICAL DYNAMIC IMAGING 1. INTRODUCTION 2. PARTICLE TRACKING
