This work presents AutoHCS™, an AI-based tool for scoring high-content imaging results in morphological clustering that predicts mechanisms of action (MoA). Automating the detection and scoring of phenotypic responses, AutoHCS enables robust phenotypic profilingand predicts MoA, utilizing ChromaLIVE, one of our non-toxic dye for live-cell imaging in its methodology.

This tool excels in high-content screening in live cells and offers scalable, objective analysis for drug discovery, including toxicity assessment in 3D cell cultures.