Automated Quantitative Analysis of Confocal Images of Neuronal Network Cultures
نویسندگان
چکیده
High resolution confocal imaging enables the study of structurefunction correlations linking molecular features of neurons to their functional output. However, current analysis and processing tools still require a very significant manual intervention, making it impractical or impossible to conduct the large-scale analysis which is often needed for integrated predictive models of single-cell and large neuronal networks function. In this paper, we present a pilot study towards the development of a fully scalable large-scale processing framework enabling the automated computation of structurefunction associative measurements of neuronal proteins in subcellular compartments from 3D confocal imagery.
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