Deep learning achieves super-resolution in fluorescence microscopy
H. Wang, Y. Rivenson, Y. Jin, Z. Wei, R. Gao, H. Gunaydin, L. Bentolila, A. Ozcan
This paper introduces a deep learning method that achieves super-resolution in fluorescence microscopy without requiring numerical models or parameter tuning, successfully resolving images with low numerical aperture lenses and diffraction-limited confocal microscopy.
bioRxiv · Apr 27, 2018Bioengineering