<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Megjhani M</submitter><funding>NIBIB NIH HHS</funding><pagination>2190-8</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4481841</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>31(13)</volume><pubmed_abstract>&lt;h4>Motivation&lt;/h4>The arbor morphologies of brain microglia are important indicators of cell activation. This article fills the need for accurate, robust, adaptive and scalable methods for reconstructing 3-D microglial arbors and quantitatively mapping microglia activation states over extended brain tissue regions.&lt;h4>Results&lt;/h4>Thick rat brain sections (100-300 µm) were multiplex immunolabeled for IBA1 and Hoechst, and imaged by step-and-image confocal microscopy with automated 3-D image mosaicing, producing seamless images of extended brain regions (e.g. 5903 × 9874 × 229 voxels). An over-complete dictionary-based model was learned for the image-specific local structure of microglial processes. The microglial arbors were reconstructed seamlessly using an automated and scalable algorith</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors.</pubmed_title><pmcid>PMC4481841</pmcid><funding_grant_id>R01 EB014955</funding_grant_id><funding_grant_id>R01EB014955</funding_grant_id><pubmed_authors>Rey-Villamizar N</pubmed_authors><pubmed_authors>Roysam B</pubmed_authors><pubmed_authors>Lu Y</pubmed_authors><pubmed_authors>Harris C</pubmed_authors><pubmed_authors>Merouane A</pubmed_authors><pubmed_authors>Megjhani M</pubmed_authors><pubmed_authors>Chong P</pubmed_authors><pubmed_authors>Mukherjee A</pubmed_authors><pubmed_authors>Trett K</pubmed_authors><pubmed_authors>Shain W</pubmed_authors></additional><is_claimable>false</is_claimable><name>Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors.</name><description>&lt;h4>Motivation&lt;/h4>The arbor morphologies of brain microglia are important indicators of cell activation. This article fills the need for accurate, robust, adaptive and scalable methods for reconstructing 3-D microglial arbors and quantitatively mapping microglia activation states over extended brain tissue regions.&lt;h4>Results&lt;/h4>Thick rat brain sections (100-300 µm) were multiplex immunolabeled for IBA1 and Hoechst, and imaged by step-and-image confocal microscopy with automated 3-D image mosaicing, producing seamless images of extended brain regions (e.g. 5903 × 9874 × 229 voxels). An over-complete dictionary-based model was learned for the image-specific local structure of microglial processes. The microglial arbors were reconstructed seamlessly using an automated and scalable algorith</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Jul</publication><modification>2025-04-05T10:12:19.288Z</modification><creation>2019-03-27T01:54:08Z</creation></dates><accession>S-EPMC4481841</accession><cross_references><pubmed>25701570</pubmed><doi>10.1093/bioinformatics/btv109</doi></cross_references></HashMap>