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BioEngine: Supercharging AI-powered BioImage analysis

For the Bioimaging Community

  • Software Compatibility: Seamlessly connect BioEngine to popular bioimaging software platforms like Fiji, Icy, and napari, avoiding the hassle of manual dependency installations.

For Developers

  • Optimized Resources: Built to efficiently serve multiple AI models to a large user base, all while judiciously using limited GPU resources.
  • Simple API: Developers can effortlessly integrate BioEngine into their projects, from Python scripts to web-based applications. You can send image data arrays to the server and receive processed results, all via simple API calls.
  • Broad Integration Options: Several example integrations with existing software platforms are already available, showing the ease and versatility of connecting with BioEngine.

What’s Next?

Acknowledgments

  • EU: Funded by the EU’s Horizon Europe program, grant no. 101057970.
  • Nvidia: Supported our development, notably with Triton Inference Server and computing credit.
  • Bioimaging Community: Thanks to testers and AI4Life Stockholm Hackathon 2023 participants for vital feedback.

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Last updated: 2023-11-07

Content Responsible: victor kuismin(victor.kuismin@scilifelab.uu.se)

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We want to better match our services with your needs—take our short survey and help shape SciLifeLab’s digital future. You can also join our user panel for occasional feedback opportunities and early access to new tools.