SLAS 2024 ViQi Poster – AutoHCS: AI-based scoring of HCS to predict MOA using ChromaLIVE™ non-toxic dye
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,...