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

Dataset for a research paper titled "Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy". 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). A. CFM CFM image of a cortical region of a Thy 1-eYFP mouse brain. Lateral resolution estimated as 1.24 micron and Z-depth interval of 3 micron Input image ["CFM_input_xy-view.tif] [Figure 2] Reference image acquired by rotating the sample by 90 degrees ["CFM_rotated-and-registered_xz-view.tif'] [Figure 2] B. OT-LSM OT-LSM image of a cortical region of a Thy 1-eYFP mouse brain. Lateral resolution estimated as 0.5 micron and axial resolution estimated as 4.6 micron. For testing of artifact correction, the microscope was poorly calibrated on purpose. Input image for artifact correction ["OT-LSM_artifact-correction_input_volume_xy-view.tif"] [Figure 4] Ground-truth image for artificial blurring ["OT-LSM_artificial-blurring_GT.tif"][Supplementary Figure 14] Input image for artificial blurring ["OT-LSM_artificial-blurring_gau-z-blurred-std-10.tif"][Supplementary Figure 14] Input image for PSF deconvolution ["input_volume_PSF-deconvolution.tif"][Figure 3] C. Simulation Jupyter notebook to generate a 3D image volume for simulation ["Data Generator for Simulation.ipynb"] [Figure 1]