In this webinar, we spotlight two complementary platforms that simplify and democratize deep learning for bioimaging: BioEngine and DL4MicEverywhere.
BioEngine offers a user-friendly, cloud-based approach to serving and running BioImage Model Zoo models at your own institute. It integrates seamlessly with common tools (e.g., Fiji, Icy, napari) and automates GPU resource management, making state-of-the-art AI analyses accessible to a broad range of users. Whether you deploy BioEngine on a local workstation or a cluster, it streamlines high-throughput bioimage analysis and promotes reproducible workflows.
DL4MicEverywhere tackles the challenge of reproducible and portable deep learning by containerizing interactive Jupyter Notebooks for zero-code model training and inference. It bridges multiple computational environments—from Google Colab to personal desktops and HPC clusters—using Docker technology, ensuring that advanced pipelines can be easily replicated across platforms without sacrificing performance or usability.
By attending this session, participants will gain practical insights into deploying AI models on their own infrastructure, learn how to maintain reproducibility across varied computational setups and discover how these two platforms can work in tandem to elevate and streamline their bioimage analysis pipelines.
Speakers: Wei Ouyang, Iván Hidalgo-Cenalmor