Synthetic dataset for dual-perspective self-supervised learning

The synthetic Ca datasets for training and testing, including training dataset with bidirectional collinear scan (N_y = 2N_x) for MP-SSL, training dataset with normal scan (N_y = N_x) for TP-SSL, and testing data (N_y = N_x)

If you use these data simulated using our modified NAOMi model, please cite the corresponding work:

B. Shen, C. Luo, W. Pang, Y. Jiang, W. Wu, R. Hu, J. Qu, B. Gu, L. Liu. Surmounting photon limits and motion artifacts for biological dynamics imaging via dual-perspective self-supervised learning. PhotoniX 5, 1 (2024).