Our flagship project is the development of Fractal , a computational framework to build, manage, and run large-scale bioimage analyses pipelines through a simple no-code web interface. 

Leveraging our unique combination of expertise in computer vision, scientific computing, and software engineering, we develop innovative, open-source, and user-friendly computational tools that enable life science researchers to perform advanced bioimage analysis without the need for advanced computational expertise.

Uhlmann, V., Hartley, M., Moore, J., Weisbart, E., & Zaritsky, A. (2024). Making the most of bioimaging data through interdisciplinary interactions. Journal of Cell Science, 137(20). https://doi.org/10.1242/jcs.262139

Cimini, B. A., Bankhead, P., D’Antuono, R., Fazeli, E., Fernandez-Rodriguez, J., Fuster-Barceló, C., Haase, R., Jambor, H. K., Jones, M. L., Jug, F., Klemm, A. H., Kreshuk, A., Marcotti, S., Martins, G. G., McArdle, S., Miura, K., Muñoz-Barrutia, A., Murphy, L. C., Nelson, M. S., … Eliceiri, K. W. (2024). The crucial role of bioimage analysts in scientific research and publication. Journal of Cell Science, 137(20), jcs262322. https://doi.org/10.1242/jcs.262322

Lüthi, J., Albert, M., Anita, L., Babalola, K., Bennett, D., Bogovic, J. A., Cerrone, L., Dornier, R., Eglinger, J., Galinova, V., Gerber, R., Gros, O., Hahmann, S., Hess, M., Hornbachner, R., Horyslavets, D., Huxford, R., Krentzel, D., Li, T., … Uhlmann, V. (2025). 2024 OME-NGFF workflows hackathon. BioHackrXiv. https://doi.org/10.37044/osf.io/5uhwz_v2