High-Speed Phenotypic Profiling with AI Image Analysis

This application note presents the ImageXpress HCS.ai High-Content Screening System, designed for high-speed phenotypic profiling in drug discovery. It outlines the system's capabilities, including improved image acquisition speed and enhanced cell segmentation accuracy through AI-driven workflows. The document details two assays: a G-protein coupled receptor (GPCR) assay and a cell painting assay, both demonstrating the system's performance in high-throughput screening workflows. The GPCR assay utilizes U2OS cells expressing GFP tagged ß-arrestin to analyze internalized GPCR vesicles, achieving Z-prime scores above 0.5. The cell painting assay employs MCF-7 human breast cancer cells treated with various compounds, showcasing the system's ability to handle multiplexed imaging across multiple fluorescent channels. The results indicate a significant reduction in image acquisition times, with the system achieving up to 100% faster speeds compared to leading platforms. Overall, the document emphasizes the system's robustness and suitability for both 2D and 3D high-throughput imaging applications.