Dataset for: Real-time self-supervised denoising for high-speed fluorescence neural imaging
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2025
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| _version_ | 1866902239413534720 |
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| author | Yiqun Wang |
| author_facet | Yiqun Wang |
| contents | <div dir="ltr"> <p><strong>General Overview</strong></p> <p>This dataset contains the five data collections used for the analyses in our study, "Real-time self-supervised denoising for high-speed fluorescence neural imaging". It includes newly generated/collected data as well as publicly available datasets that have been reused. The source of each dataset is detailed below.</p> <p><strong>Original Data</strong></p> <p>The following datasets were generated or collected specifically for this study:</p> <ul> <li>File 2-Voltage_Simulated_Fast_Dynamics.zip: Simulated data representing fast voltage dynamics.</li> <li>File 5-Calcium_Astrocyte_Volume.tif: Volumetric two-photon imaging data of astrocytes.</li> </ul> <p><strong>Publicly Sourced and Reused Data</strong></p> <p>To validate our methods, we also used the following publicly available datasets. We extend our gratitude to the original authors for making their data open.</p> <ul> <li>File 1-Calcium_Neuronal_Population.tif: <ul> <li>Description: Two-photon calcium imaging of neurons in mouse vS1 at 8 Hz.</li> <li>Original Source: The Neurofinder Challenge.</li> <li>Available at: <a href="http://neurofinder.codeneuro.org/" target="_blank" rel="noopener">http://neurofinder.codeneuro.org</a></li> </ul> </li> <li>File 3-Voltage_Single_Cell.zip: <ul> <li>Description: Epifluorescence voltage imaging of pyramidal cells (1,000 Hz) with corresponding patch-clamp recordings.</li> <li>Original Publication: Eom, M. et al. Statistically unbiased prediction enables accurate denoising of voltage imaging data. Nat Methods 20, 1581–1592 (2023).</li> <li>DOI: <a href="https://doi.org/10.1038/s41592-023-02005-8" target="_blank" rel="noopener">https://doi.org/10.1038/s41592-023-02005-8</a></li> </ul> </li> <li>File 4-Voltage_Zebrafish.tif: <ul> <li>Description: Light-sheet voltage imaging of excitatory neurons (1,000 Hz) in the zebrafish spinal cord.</li> <li>Original Publication: Xie, M.E. et al. High-fidelity estimates of spikes and subthreshold waveforms from 1-photon voltage imaging in vivo. Cell Reports 35, 108954–108954 (2021).</li> <li>DOI: <a href="https://doi.org/10.1016/j.celrep.2021.108954" target="_blank" rel="noopener">https://doi.org/10.1016/j.celrep.2021.108954</a></li> </ul> </li> </ul> <p><strong>Licensing Information</strong></p> <p>The data in 2-Voltage_Simulated_Fast_Dynamics.zip and 5-Calcium_Astrocyte_Volume.tif are released under the CC-BY 4.0 License. The data in files 1-Calcium_Neuronal_Population.tif, 3-Voltage_Single_Cell.zip, and 4-Voltage_Zebrafish.tif are reused from their original sources and are subject to their respective original licenses. Users should consult the source repositories for specific licensing terms.</p> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15872025 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset for: Real-time self-supervised denoising for high-speed fluorescence neural imaging Yiqun Wang <div dir="ltr"> <p><strong>General Overview</strong></p> <p>This dataset contains the five data collections used for the analyses in our study, "Real-time self-supervised denoising for high-speed fluorescence neural imaging". It includes newly generated/collected data as well as publicly available datasets that have been reused. The source of each dataset is detailed below.</p> <p><strong>Original Data</strong></p> <p>The following datasets were generated or collected specifically for this study:</p> <ul> <li>File 2-Voltage_Simulated_Fast_Dynamics.zip: Simulated data representing fast voltage dynamics.</li> <li>File 5-Calcium_Astrocyte_Volume.tif: Volumetric two-photon imaging data of astrocytes.</li> </ul> <p><strong>Publicly Sourced and Reused Data</strong></p> <p>To validate our methods, we also used the following publicly available datasets. We extend our gratitude to the original authors for making their data open.</p> <ul> <li>File 1-Calcium_Neuronal_Population.tif: <ul> <li>Description: Two-photon calcium imaging of neurons in mouse vS1 at 8 Hz.</li> <li>Original Source: The Neurofinder Challenge.</li> <li>Available at: <a href="http://neurofinder.codeneuro.org/" target="_blank" rel="noopener">http://neurofinder.codeneuro.org</a></li> </ul> </li> <li>File 3-Voltage_Single_Cell.zip: <ul> <li>Description: Epifluorescence voltage imaging of pyramidal cells (1,000 Hz) with corresponding patch-clamp recordings.</li> <li>Original Publication: Eom, M. et al. Statistically unbiased prediction enables accurate denoising of voltage imaging data. Nat Methods 20, 1581–1592 (2023).</li> <li>DOI: <a href="https://doi.org/10.1038/s41592-023-02005-8" target="_blank" rel="noopener">https://doi.org/10.1038/s41592-023-02005-8</a></li> </ul> </li> <li>File 4-Voltage_Zebrafish.tif: <ul> <li>Description: Light-sheet voltage imaging of excitatory neurons (1,000 Hz) in the zebrafish spinal cord.</li> <li>Original Publication: Xie, M.E. et al. High-fidelity estimates of spikes and subthreshold waveforms from 1-photon voltage imaging in vivo. Cell Reports 35, 108954–108954 (2021).</li> <li>DOI: <a href="https://doi.org/10.1016/j.celrep.2021.108954" target="_blank" rel="noopener">https://doi.org/10.1016/j.celrep.2021.108954</a></li> </ul> </li> </ul> <p><strong>Licensing Information</strong></p> <p>The data in 2-Voltage_Simulated_Fast_Dynamics.zip and 5-Calcium_Astrocyte_Volume.tif are released under the CC-BY 4.0 License. The data in files 1-Calcium_Neuronal_Population.tif, 3-Voltage_Single_Cell.zip, and 4-Voltage_Zebrafish.tif are reused from their original sources and are subject to their respective original licenses. Users should consult the source repositories for specific licensing terms.</p> </div> |
| title | Dataset for: Real-time self-supervised denoising for high-speed fluorescence neural imaging |
| url | https://doi.org/10.5281/zenodo.15872025 |