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Enhancing high-content imaging for studying microtubule networks at large-scale

Deep neural network to turn noisy widefield images into clean confocal images

published in Machine Learning for Healthcare 2019

illustration

  1. simulations: Scripts and simulated data for performance benchmarking
  2. demo: Scripts of how to use CycleGAN models
  3. checkpoints: Some pretrained models

Requirement:

Scripts are developed using Python 3. CycleGAN will need to be set up properly. See comments in the notebook.