Dataset for Reference-free Isotropic Super-resolution For Volumetric Fluorescence Microscopy

<p>Dataset for a research paper titled &quot;Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence&nbsp;microscopy&quot;. The images were acquired using two modalities: confocal fluorescence microscopy (CFM) and open-top light-sheet microscopy (OT-LSM). For details about the imaging, please refer to the paper (Link to be uploaded later).&nbsp;</p> <p>A. CFM</p> <ul> <li>CFM image of a cortical region of a Thy 1-eYFP mouse brain.&nbsp;</li> <li>Lateral resolution estimated as 1.24 micron and Z-depth interval of 3 micron</li> </ul> <ol> <li>Input image [&quot;CFM_input_xy-view.tif]&nbsp;[Figure 2]&nbsp;</li> <li>Reference image acquired by rotating the sample by 90 degrees [&quot;CFM_rotated-and-registered_xz-view.tif&#39;]&nbsp;[Figure 2]&nbsp;</li> </ol> <p>B. OT-LSM&nbsp;</p> <ul> <li>OT-LSM image of a cortical region of a Thy 1-eYFP mouse brain.</li> <li>Lateral resolution estimated as 0.5&nbsp;micron and axial resolution estimated as 4.6 micron.&nbsp;</li> <li>For testing of artifact correction, the microscope was poorly calibrated on purpose.&nbsp;</li> </ul> <ol> <li>Input image for artifact correction [&quot;OT-LSM_artifact-correction_input_volume_xy-view.tif&quot;] [Figure 4]</li> <li>Ground-truth image&nbsp;for artificial blurring&nbsp;[&quot;OT-LSM_artificial-blurring_GT.tif&quot;][Supplementary Figure 14]</li> <li>Input image for artificial blurring [&quot;OT-LSM_artificial-blurring_gau-z-blurred-std-10.tif&quot;][Supplementary Figure 14]</li> <li>Input image for PSF deconvolution [&quot;input_volume_PSF-deconvolution.tif&quot;][Figure 3]</li> </ol> <p>C. Simulation&nbsp;</p> <ul> <li>Jupyter notebook to generate a 3D image volume for simulation [&quot;Data Generator for Simulation.ipynb&quot;] [Figure 1]&nbsp;</li> </ul>