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AI4Life-MDC24 Challenge team

  • Vera Galinova - Fondazione Human Technopole, Italy

  • Mehdi Seifi - Fondazione Human Technopole, Italy

  • Joran Deschamps - Fondazione Human Technopole, Italy

  • Alexander Krull - University of Birmingham, UK

  • Florian Jug - Fondazione Human Technopole, Italy

  • Beatriz Serrano-Solano - Euro-BioImaging ERIC Bio-Hub, Germany

  • AI4Life Consortium

Data Contributions

  • JUMP Cell Painting datasets (Chandrasekaran et al., 2023), available from the Cell Painting Gallery on the Registry of Open Data on AWS (https://registry.opendata.aws/cellpainting-gallery/)

  • Zhou, Ruofan and El Helou, Majed and Sage, Daniel and Laroche, Thierry and Seitz, Arne and Süsstrunk, Sabine (2020). W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

  • Hagen, G. M., Bendesky, J., Machado, R., Nguyen, T. A., Kumar, T., & Ventura, J. (2021). Fluorescence microscopy datasets for training deep neural networks. GigaScience, 10(5), giab032.

  • Eom, M., Han, S., Park, P. et al. Statistically unbiased prediction enables accurate denoising of voltage imaging data. Nat Methods 20, 1581–1592 (2023).Â