The dataset contains the first of two processed open-source datasets used in the Github repository:

https://github.com/IPMI-ICNS-UKE/AIMD.AI-for-microscopy-denoising

The AIMD Github repository is demonstrating the use of open-source microscopy data for deep learning based image denoising and transfer learning as showcased in:  Lohr, D., Meyer, L., Woelk, LM., Kovacevic, D., Diercks, BP., Werner, R. (2025). Deep Learning-Based Image Restoration and Super-Resolution for Fluorescence Microscopy: Overview and Resources. In: Diercks, BP. (eds) T Cell Activation. Methods in Molecular Biology, vol 2904. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-4414-0_3

The folder models contains pre-trained denoising models generated using the code of the AIMD repository.

The original open-source data is the "Fluorescence Microscopy Denoising (FMD) dataset" - CC BY-SA 4.0 license

https://curate.nd.edu/articles/dataset/Fluorescence_Microscopy_Denoising_FMD_dataset/24744648
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