Experimental dataset for dual-perspective self-supervised learning

<p>Experimental data for training and testing, including astrocyte data, rapid hemodynamic data (larger vessels), vascular data (smaller vessels), zebrafish cardiac data.</p> <p>If you use these data acquired using our imaging system, please cite the corresponding work:</p> <p><a href="https://doi.org/10.1186/s43074-023-00117-0"><span><span><span>&nbsp;</span></span></span><strong><span>B. Shen</span></strong><span>, 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). </span></a></p> <p>&nbsp;</p>