Deciphering tumour tissue organization by 3D electron microscopy and machine learning

Despite recent progress in the characterization of tumour components, the tri-dimensional (3D) organization of this pathological tissue and the parameters determining its internal architecture remain elusive. Here, we analysed the spatial organization of patient-derived xenograft tissues generated f...

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Detalles Bibliográficos
Autores principales: de Senneville, Baudouin Denis, Khoubai, Fatma Zohra, Bevilacqua, Marc, Labedade, Alexandre, Flosseau, Kathleen, Chardot, Christophe, Branchereau, Sophie, Ripoche, Jean, Cairo, Stefano, Gontier, Etienne, Grosset, Christophe F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668903/
https://www.ncbi.nlm.nih.gov/pubmed/34903822
http://dx.doi.org/10.1038/s42003-021-02919-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668903/
https://www.ncbi.nlm.nih.gov/pubmed/34903822
http://dx.doi.org/10.1038/s42003-021-02919-z

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