title: High-content analysis in neuroscience.
abstract: High-content analysis (HCA) combines automated microscopy and automated image analysis to quantify complex cellular anatomy and biochemistry objectively, accurately and quickly. High-content assays that are applicable to neuroscience include those that can quantify various aspects of dendritic trees, protein aggregation, transcription factor translocation, neurotransmitter receptor internalization, neuron and synapse number, cell migration, proliferation and apoptosis. The data that are generated by HCA are rich and multiplexed. HCA thus provides a powerful high-throughput tool for neuroscientists.
authors.affiliation: Department of Pharmacology and National Research Centre for Growth and Development, Faculty of Medical and Health Sciences, The University of Auckland, Auckland 1142, New Zealand. m.dragunow@auckland.ac.nz
authors.forename: Mike
authors.initials: M
authors.lastname: Dragunow
mesh_terms: D001331:Automation / Q000295:instrumentation / Q000379:methods; D048430:Cell Shape / Q000502:physiology; D019295:Computational Biology / Q000295:instrumentation / Q000379:methods / Q000639:trends; D019044:Image Cytometry / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D008853:Microscopy / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D009448:Neurochemistry / Q000295:instrumentation / Q000379:methods / Q000639:trends; D009474:Neurons / Q000166:cytology; D009488:Neurosciences / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D012984:Software / Q000639:trends