The dataset used for unsupervised segmentation of sub-cellular microvilli using fluorescence microscopy.

The dataset used for tubule segmentation of inhomogeneity images based on convolutional neural networks with fluorescence microscopy correction.

A dataset of 67 tracked cells was built from these experiments (Feillet et al., 2014), giving rise to fluorescence levels trajectories with high inter-cell variability and noise.