Fluorescence Microscopy Denoising
The Fluorescence Microscopy Denoising (FMD) dataset is dedicated to Poisson-Gaussian denoising. The dataset consists of 12,000 real fluorescence microscopy images obtained with commercial confocal, two-photon, and wide-field microscopes and representative biological samples such as cells, zebrafish, and mouse brain tissues. Image averaging is used to effectively obtain ground truth images and 60,000 noisy images with different noise levels.
Source: https://arxiv.org/abs/1812.10366
Image Source: https://github.com/bmmi/denoising-fluorescence
Variants: FMD
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Image Denoising | NOise2NOise | Machine learning for faster and … | 2020-08-05 |
Recent papers with results on this dataset: