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

1. Input image ["CFM_input_xy-view.tif] [Figure 2] 
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. 

1. Input image for artifact correction ["OT-LSM_artifact-correction_input_volume_xy-view.tif"] [Figure 4]
2. Ground-truth image for artificial blurring ["OT-LSM_artificial-blurring_GT.tif"][Supplementary Figure 14]
3. Input image for artificial blurring ["OT-LSM_artificial-blurring_gau-z-blurred-std-10.tif"][Supplementary Figure 14]
4. 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]