Deep-learning is revolutionizing many fields in bio-image analysis such as cell segmentation and classification. Despite the rapid development of robust networks and the availability of many trained models (e.g. BioImage Model Zoo https://bioimage.io/#/), or at least annotated images, the use of DL methods is still restricted in the biological community as it still requires some advanced programming skills. Recently, user-friendly plugins such as DeepImageJ (https://www.nature.com/articles/s41592-021-01262-9) or online applications such as CellPose (https://www.cellpose.org/) have been proposed for the generic use of pre-trained deep learning models for biomedical image analysis. In this workshop, we will introduce the user-friendly solution that we are currently implementing for Icy ( https://icy.bioimageanalysis.org/), a standalone application and online platform for advanced image analysis.