AI4Life-MDC24 Challenge data: SUPPORT method dataset

<p>This is a subset of the Supporting data for <em>Eom, M., Han, S., Park, P. et al. Statistically unbiased prediction enables accurate denoising of voltage imaging data. Nat Methods <strong>20</strong>, 1581&ndash;1592 (2023). https://doi.org/10.1038/s41592-023-02005-8</em><br>For more details, please see the research publication "<a href="https://www.nature.com/articles/s41592-023-02005-8">Statistically unbiased prediction enables accurate denoising of voltage imaging data</a>".</p> <p>The selected <strong>subset</strong> contains low-SNR images from the Penicillium dataset in the form of a single tiff file.<br><br>The original dataset is available at <a href="../record/8176722">https://zenodo.org/record/8176722</a><br><br><br>AI4Life has received funding from the European Union&rsquo;s Horizon Europe research and innovation programme under grant agreement number 101057970. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.</p>