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.本数据集为荧光显微镜去噪（Fluorescence Microscopy Denoising, FMD）数据集的子集，用作“2025年AI4Life显微镜监督去噪挑战赛”的训练集。其源自Zhang等人2019年发布的数据集： Zhang, Y., Zhu, Y., Nichols, E., Wang, Q., Zhang, S., Smith, C., & Howard, S. (2019). 基于真实荧光显微镜图像的泊松-高斯（Poisson-Gaussian）去噪数据集. 见：IEEE/CVF计算机视觉与模式识别会议（IEEE/CVF Conference on Computer Vision and Pattern Recognition）论文集，第11710-11718页。相关预印本可访问：https://arxiv.org/abs/1812.10366 如需了解原始数据集的更多细节，请参阅原始研究文献： Zhang, Y., Zhu, Y., Nichols, E., Wang, Q., Zhang, S., Smith, C., & Howard, S. (2019). 基于真实荧光显微镜图像的泊松-高斯去噪数据集. 见：IEEE/CVF计算机视觉与模式识别会议论文集，第11710-11718页。其代码仓库地址为：https://github.com/yinhaoz/denoising-fluorescence?tab=readme-ov-file 关于本次子集的细节与组织方式，请访问：https://ai4life-mdc25.grand-challenge.org/leaderboard-4/ AI4Life项目已获得欧盟地平线欧洲（Horizon Europe）研究与创新计划的资助，资助协议编号为101057970。需特别说明：本文所表达的观点仅代表作者本人，未必反映欧盟或欧洲研究委员会执行局的立场。欧盟及相关资助机构不对本文内容承担任何责任。