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HCA-Vision: Automated Neurite Outgrowth Analysis

Wang, Dadong, Lagerstrom, Ryan, Sun, Changming, Bishof, Leanne, Vallotton, Pascal and Goette, Marjo (2010) HCA-Vision: Automated Neurite Outgrowth Analysis. Journal of Biomolecular Screening, 15 (9). pp. 1165-1170. ISSN 1087-0571

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Automating the analysis of neurons in culture represents a key aspect of the search for neuroactive compounds. A number of commercial neurite analysis software packages tend to measure some basic features such as total neurite length and number of branching points. However, with only these measurements, some differences between neurite morphologies which are clear to a human observer cannot be identified. HCA-Vision has been developed as a standalone image analysis platform to produce quality analyses at primary screening rates. It provides sensitive and information-rich measurements of neurons and neurites. HCA-Vision can discriminate subtle changes in complex neurite branching structures even when neurons and neurites are dense. This allows users to selectively screen for compounds triggering different types of neurite outgrowth behaviour. In mixed cell populations, neurons can be filtered and separated from other brain cell types so that neurite analysis can be performed only on neurons. HCA-Vision supports batch processing with a built-in database to store the batch processing results, a batch result viewer and an ad hoc query builder for users to retrieve features of interest. The free version of HCA-Vision is available at

Item Type: Article
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Additional Information: author can archive post-print (ie final draft post-refereeing); Publisher's version/PDF cannot be used
Keywords: High Content Analysis, High Content Screening, Neurite Analysis, Image Analysis
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Date Deposited: 13 Oct 2015 13:16
Last Modified: 13 Oct 2015 13:16


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