logo EDITE Thomas BOUDIER
Identité
Thomas BOUDIER
État académique
Thèse soutenue le 1997-01-01
Titulaire d'une HDR (ou équivalent) 2006-12-14
Laboratoire: personnel permanent
Direction de thèses (depuis 2007)
2
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-01492461
A novel toolbox to investigate tissue spatial organization applied to the study of the islets of Langerhans
International audience
Thanks to the development of new 3D Imaging techniques, volumetric data of thick samples, especially tissues, are commonly available. Several algorithms were proposed to analyze cells or nuclei in tissues, however these tools are limited to two dimensions. Within any given tissue, cells are not likely to be organized randomly and as such have specific patterns of cell-cell interaction forming complex communication networks. In this paper, we propose a new set of tools as an approach to segment and analyze tissues in 3D with single cell resolution. This new tool box can identify and compute the geographical location of single cells and analyze the potential physical interactions between different cell types and in 3D. As a proof-of-principle, we applied our methodology to investigation of the cyto-architecture of the islets of Langerhans in mice and monkeys. The results obtained here are a significant improvement in current methodologies and provides new insight into the organization of alpha cells and their cellular interactions within the islet's cellular framework.
ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.archives-ouvertes.fr/hal-01492461 Scientific Reports, Nature Publishing Group, 2017, 7, pp.44261. <http://www.nature.com/articles/srep44261>. <10.1038/srep44261> http://www.nature.com/articles/srep44261ARRAY(0x7f03ff563a08) 2017
oai:hal.archives-ouvertes.fr:hal-01204103
A generic classification-based method for segmentation of nuclei in 3D images of early embryos
HASH(0x7f03ff371de0)
ISSN: 1471-2105 BMC Bioinformatics https://hal.archives-ouvertes.fr/hal-01204103 BMC Bioinformatics, BioMed Central, 2014, 15, pp.9. <10.1186/1471-2105-15-9>ARRAY(0x7f03ff3575b0) 2014