de Reuille PB Ragni L 2017 Quantification of vascular morphodynamics during secondary growth has been hampered by the scale of the process. Even in the tiny model plant Arabidopsis thaliana, the xylem can include more than 2000 cells in a single cross section, rendering manual counting impractical. Moreover, due to its deep location, xylem is an inaccessible tissue, limiting live imaging. A novel method to visualize and measure secondary growth progression has been proposed: "the Quantitative Histology" approach. This method is based on a detailed anatomical atlas, and image segmentation coupled with machine learning to automatically extract cell shapes and identify cell type. Here we present a new version of this approach, with a user-friendly interface implemented in the open source software LithoGraphX. https://sonar.ch/global/documents/58043 eng info:eu-repo/semantics/altIdentifier/doi/10.1007/978-1-4939-6722-3_10 info:eu-repo/semantics/altIdentifier/pmid/28050833 Methods in molecular biology (Clifton, N.J.). - 2017 Arabidopsis hypocotyl Cell segmentation LithoGraphX Quantitative histology Arabidopsis Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Microscopy Plant Development Plant Vascular Bundle Software Vascular Morphodynamics During Secondary Growth. http://purl.org/coar/resource_type/c_6501