Article

Deciphering Tumour Tissue Organization by 3D Electron Microscopy and machine learning

2021-06-16

Abstract excerpt

<h4>ABSTRACT</h4> 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 from hepatoblastoma, the most frequent childhood liver tumour, by serial block-face scanning electr...

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Literature Corpus work: 5a260e27-0535-5670-aefa-2e0d2cac422a
DOI: 10.1101/2021.06.15.446847

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