In this talk, I demonstrate potential use-cases for vision-language models (VLM) in bio-image data science, focusing on how to analyse microscopy image data. It covers these use-cases: cell counting bounding-box segmentation image descriptions VLMs guessing which algorithm to use for processing Data analysis code generation Answering github issues The talk also points at a number of VLM-based open-source tools which start reshaping the scientific bio-image data science domain: bia-bob unprompted git-bob napari-chatgpt bioimage.io chatbot