AI4Life-MDC25-FMD

This is a subset of the "Fluorescence Microscopy Denoising (FMD) dataset", used as a training set for "AI4Life Microscopy Supervised Denoising Challenge 2025" It is based on the dataset from "Zhang, Y., Zhu, Y., Nichols, E., Wang, Q., Zhang, S., Smith, C., & Howard, S. (2019). A poisson-gaussian denoising dataset with real fluorescence microscopy images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 11710-11718)."https://arxiv.org/abs/1812.10366 For more details about the original dataset, please see the original research publication Zhang, Y., Zhu, Y., Nichols, E., Wang, Q., Zhang, S., Smith, C., & Howard, S. (2019). A poisson-gaussian denoising dataset with real fluorescence microscopy images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 11710-11718).https://arxiv.org/abs/1812.10366 And the code repository https://github.com/yinhaoz/denoising-fluorescence?tab=readme-ov-fileFor the details about this subset and its organization, please see https://ai4life-mdc25.grand-challenge.org/leaderboard-4/AI4Life has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement number 101057970. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.