Fluorescence Microscopy Denoising (FMD) dataset

We created a dataset - the Fluorescence Microscopy Denoising (FMD) dataset - that 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 BPAE cells, zebrafish, and mouse brain tissues. We use image averaging to effectively obtain ground truth images and 60,000 noisy images with different noise levels.

本研究构建了一款专用于泊松-高斯去噪的荧光显微镜成像去噪（Fluorescence Microscopy Denoising，FMD）数据集。该数据集包含12000张真实荧光显微镜图像，采集自商用共聚焦显微镜、双光子显微镜及宽场显微镜，所用代表性生物样本包括BPAE细胞、斑马鱼与小鼠脑组织。本团队通过图像平均法高效获取了真值图像，并生成了60000张不同噪声水平的带噪图像。