High content analysis in neuroscience

Dragunow, Michael

dc.contributor.author	Dragunow, Michael	en
dc.date.accessioned	2012-03-27T02:13:26Z	en
dc.date.issued	2008	en
dc.identifier.citation	Nature Reviews Neuroscience 9(10):779-788 2008	en
dc.identifier.issn	1471-003X	en
dc.identifier.uri	http://hdl.handle.net/2292/15646	en
dc.description.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.	en
dc.publisher	Macmillan Publishers Limited	en
dc.relation.ispartofseries	Nature Reviews Neuroscience	en
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/1471-003X/	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.title	High content analysis in neuroscience	en
dc.type	Journal Article	en
dc.identifier.doi	10.1038/nrn2492	en
pubs.issue	10	en
pubs.begin-page	779	en
pubs.volume	9	en
dc.rights.holder	Copyright: Macmillan Publishers Limited	en
dc.identifier.pmid	18784656	en
pubs.end-page	788	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/RestrictedAccess	en
pubs.subtype	Review	en
pubs.elements-id	81512	en
pubs.org-id	Medical and Health Sciences	en
pubs.org-id	Medical Sciences	en
pubs.org-id	Pharmacology	en
pubs.record-created-at-source-date	2010-09-01	en
pubs.dimensions-id	18784656	en