{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Martin A"],"funding":["NCI NIH HHS"],"pubmed_abstract":["Image analysis of subcellular structures and biological processes relies on specific, context-dependent pipelines, which are labor-intensive, constrained by the intricacies of the specific biological system, and inaccessible to broader applications. Here we introduce the application of dispersion indices, a statistical tool traditionally employed by economists, to analyze the spatial distribution and heterogeneity of subcellular structures. This computationally efficient high-throughput approach, termed GRID (Generalized Readout of Image Dispersion), is highly generalizable, compatible with open-source image analysis software, and adaptable to diverse biological scenarios. GRID readily quantifies diverse structures and processes to include autophagic puncta, mitochondrial clustering, and m"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2024.08.18.608451"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11370428"],"repository":["biostudies-literature"],"pubmed_title":["Universal high-throughput image quantification of subcellular structure dynamics and spatial distributions within cells."],"pmcid":["PMC11370428"],"funding_grant_id":["R01 CA232056"],"pubmed_authors":["Grinstaff MW","Tingley B","Shirihai O","Williamson A","Nia HT","Zurakowski D","Han X","Pickus M","Zhang S","Martin A"],"additional_accession":[]},"is_claimable":false,"name":"Universal high-throughput image quantification of subcellular structure dynamics and spatial distributions within cells.","description":"Image analysis of subcellular structures and biological processes relies on specific, context-dependent pipelines, which are labor-intensive, constrained by the intricacies of the specific biological system, and inaccessible to broader applications. Here we introduce the application of dispersion indices, a statistical tool traditionally employed by economists, to analyze the spatial distribution and heterogeneity of subcellular structures. This computationally efficient high-throughput approach, termed GRID (Generalized Readout of Image Dispersion), is highly generalizable, compatible with open-source image analysis software, and adaptable to diverse biological scenarios. GRID readily quantifies diverse structures and processes to include autophagic puncta, mitochondrial clustering, and m","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2025-07-13T03:04:26.345Z","creation":"2025-04-04T01:57:47.573Z"},"accession":"S-EPMC11370428","cross_references":{"pubmed":["39229224"],"doi":["10.1101/2024.08.18.608451"]}}