This paper discusses the evolution of high-content screening toward three-dimensional cellular models such as spheroids and organoids. It explains the scientific advantages of 3D models, which better reflect in vivo biology but generate more complex imaging data. The document describes how Signals Image Artist enables advanced 3D image analysis, including segmentation, feature extraction, and phenotypic classification. Machine learning techniques help manage data complexity and uncover subtle biological signals. By supporting robust analysis of 3D assays, the platform enables more predictive screening, improved candidate selection, and better translation from preclinical research to clinical outcomes.

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