{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Benkeder S"],"funding":["Agence Nationale de la Recherche","Fondation pour la Recherche Médicale"],"pagination":["RP101630"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12088675"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13"],"pubmed_abstract":["Microglia exhibit diverse morphologies reflecting environmental conditions, maturity, or functional states. Thus, morphological characterization provides important information to understand microglial roles and functions. Most recent morphological analysis relies on classifying cells based on morphological parameters. However, this classification may lack biological relevance, as microglial morphologies represent a continuum rather than distinct, separate groups, and do not correspond to mathematically defined clusters irrelevant of microglial cells function. Instead, we propose a new open-source tool, MorphoCellSorter, which assesses microglial morphology by automatically computing morphological criteria, using principal component analysis and Andrews plots to score cells. MorphoCellSorte"],"journal":["eLife"],"pubmed_title":["MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features."],"pmcid":["PMC12088675"],"funding_grant_id":["ANR-11-LABX-0042","ANR-18-RHUS-0012","DQ20170336751"],"pubmed_authors":["Thoby-Brisson M","Pascual O","Hristovska I","Pitollat G","Hubert V","Cardoit L","Honnorat J","Leon C","Dinh SM","Wiart M","Marthy S","Benkeder S","De Gea P","Combet K","Comte JC","Marchal P","Pillot B"],"additional_accession":[]},"is_claimable":false,"name":"MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features.","description":"Microglia exhibit diverse morphologies reflecting environmental conditions, maturity, or functional states. Thus, morphological characterization provides important information to understand microglial roles and functions. Most recent morphological analysis relies on classifying cells based on morphological parameters. However, this classification may lack biological relevance, as microglial morphologies represent a continuum rather than distinct, separate groups, and do not correspond to mathematically defined clusters irrelevant of microglial cells function. Instead, we propose a new open-source tool, MorphoCellSorter, which assesses microglial morphology by automatically computing morphological criteria, using principal component analysis and Andrews plots to score cells. MorphoCellSorte","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 May","modification":"2026-05-29T12:47:27.719Z","creation":"2026-04-08T04:45:16.549Z"},"accession":"S-EPMC12088675","cross_references":{"pubmed":["40387080"],"doi":["10.7554/eLife.101630"]}}