<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Martin A</submitter><funding>NCI NIH HHS</funding><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</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2024.08.18.608451</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11370428</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Universal high-throughput image quantification of subcellular structure dynamics and spatial distributions within cells.</pubmed_title><pmcid>PMC11370428</pmcid><funding_grant_id>R01 CA232056</funding_grant_id><pubmed_authors>Grinstaff MW</pubmed_authors><pubmed_authors>Tingley B</pubmed_authors><pubmed_authors>Shirihai O</pubmed_authors><pubmed_authors>Williamson A</pubmed_authors><pubmed_authors>Nia HT</pubmed_authors><pubmed_authors>Zurakowski D</pubmed_authors><pubmed_authors>Han X</pubmed_authors><pubmed_authors>Pickus M</pubmed_authors><pubmed_authors>Zhang S</pubmed_authors><pubmed_authors>Martin A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Universal high-throughput image quantification of subcellular structure dynamics and spatial distributions within cells.</name><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</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2025-07-13T03:04:26.345Z</modification><creation>2025-04-04T01:57:47.573Z</creation></dates><accession>S-EPMC11370428</accession><cross_references><pubmed>39229224</pubmed><doi>10.1101/2024.08.18.608451</doi></cross_references></HashMap>