z-logo
open-access-imgOpen Access
Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors
Author(s) -
Murad Megjhani,
Nicolas Rey-Villamizar,
Amine Merouane,
Yanbin Lu,
Amit Mukherjee,
Kristen Trett,
Peter Chong,
Carolyn A. Harris,
William Shain,
Badrinath Roysam
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv109
Subject(s) - microglia , computer science , scalability , software , voxel , artificial intelligence , pattern recognition (psychology) , population , cluster analysis , neuroscience , computer vision , computational biology , biology , database , medicine , environmental health , immunology , inflammation , programming language
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom