title: Automated screening of neurite outgrowth.
abstract: Outgrowth of neurites in culture is used for assessing neurotrophic activity. Neurite measurements have been performed very slowly using manual methods or more efficiently with interactive image analysis systems. In contrast, medium-throughput and noninteractive image analysis of neurite screens has not been well described. The authors report the performance of an automated image acquisition and analysis system (IN Cell Analyzer 1000) in the neurite assay. Neuro-2a (N2a) cells were plated in 96-well plates and were exposed to 6 conditions of retinoic acid. Immunofluorescence labeling of the cytoskeleton was used to detect neurites and cell bodies. Acquisition of the images was automatic. The image set was then analyzed by both manual tracing and automated algorithms. On 5 relevant parameters (number of neurites, neurite length, total cell area, number of cells, neurite length per cell), the authors did not observe a difference between the automated analysis and the manual analysis done by tracing. These data suggest that the automated system addresses the same biology as human scorers and with the same measurement precision for treatment effects. However, throughput of the automated system is orders of magnitude higher than with manual methods.
authors.affiliation: Imaging Research Inc, Ontario, Canada.
authors.forename: Peter
authors.initials: P
authors.lastname: Ramm
authors.forename: Yuriy
authors.initials: Y
authors.lastname: Alexandrov
authors.forename: Andrzej
authors.initials: A
authors.lastname: Cholewinski
authors.forename: Yuriy
authors.initials: Y
authors.lastname: Cybuch
authors.forename: Robert
authors.initials: R
authors.lastname: Nadon
authors.forename: Bohdan J
authors.initials: BJ
authors.lastname: Soltys
mesh_terms: D000818:Animals; D001331:Automation; D003952:Diagnostic Imaging; D051379:Mice; D016501:Neurites / Q000378:metabolism*; D009474:Neurons / Q000166:cytology*