Releases: peterhpark/neuroclear
Releases · peterhpark/neuroclear
Neuroclear: reference-free isotropic super-resolution for volumetric fluorescence microscopy
Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single image stack. The code includes Pytorch code for network training and prediction. This is code for a research publication titled "Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy".