High-content analysis in neuroscience

Abstract

High-content analysis (HCA), the combination of automated microscopy and automated image analysis, has the potential to be a powerful tool for neuroscience research. Mike Dragunow outlines the factors to consider when adopting HCA in an academic setting, and the benefits that researchers can expect. 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.