Published June 28, 2025 | Version v1
Dataset Open

AI4Life-MDC25-FMD

Description

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-file

For 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.

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Additional details

Funding

European Commission
AI4LIFE - Artificial Intelligence for Image Data Analysis in the Life Sciences 101057970