{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Megjhani M"],"funding":["NIBIB NIH HHS"],"pagination":["2190-8"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4481841"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["31(13)"],"pubmed_abstract":["Motivation
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.Results
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"],"journal":["Bioinformatics (Oxford, England)"],"pubmed_title":["Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors."],"pmcid":["PMC4481841"],"funding_grant_id":["R01 EB014955","R01EB014955"],"pubmed_authors":["Rey-Villamizar N","Roysam B","Lu Y","Harris C","Merouane A","Megjhani M","Chong P","Mukherjee A","Trett K","Shain W"],"additional_accession":[]},"is_claimable":false,"name":"Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors.","description":"Motivation
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.Results
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","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015 Jul","modification":"2025-04-05T10:12:19.288Z","creation":"2019-03-27T01:54:08Z"},"accession":"S-EPMC4481841","cross_references":{"pubmed":["25701570"],"doi":["10.1093/bioinformatics/btv109"]}}