Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning.
Hyoungjun ParkMyeongsu NaBumju KimSoohyun ParkKi Hean KimSunghoe ChangJong Chul YePublished in: CoRR (2021)
Keyphrases
- super resolution
- deep learning
- fluorescence microscopy
- unsupervised learning
- deep architectures
- weakly supervised
- low resolution
- high resolution
- image sequences
- high quality
- machine learning
- low resolution images
- motion estimation
- supervised learning
- single image
- semi supervised
- super resolution reconstruction
- image super resolution
- depth map
- learning algorithm
- image patches
- computer vision
- feature selection
- data sets
- expectation maximization
- probabilistic model
- active learning
- object recognition