Presentation by Prof. Ola Spjuth at the ELRIG conference 'Robotics and Automation 2022' at FESTO, Esslingen, DE on 2022-12-01. ABSTRACT: We have set up an open source robotized lab for image-based drug screening and cell profiling. The lab can operate on multiple simultaneous 384-well microplates, using high-content microscopy imaging as the primary readout. Our main protocol is morphological profiling using multiplexed fluorescent dyes (Cell Painting) after cells being exposed to treatments with individual or combinations of chemical compounds, but we are increasingly using live cell imaging in brightfield for temporal analyses. In this presentation I will describe our open source efforts in automation, covering how we apply artificial intelligence / machine learning to design efficient multi-well and multi-plate experiments, and execute the generated protocols using robotics in our cell-based lab. I will also describe our approach to preprocess, filter, store and analyze the large amounts of images produced. An important application we are targeting is exploration of combination effects of drugs and environmental chemicals.