Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.
Thanks very much for providing the very-well documented code. I have a general question after reading the Topaz-Denoise: general deep denoising models for cryoEM and cryoET and going over the tutorials.
In particular, if one would like to reproduce the full training for U-net on Large dataset (both discussed in your paper supplementary) from scratch, what are the steps? Is there a short code snippet that could demonstrate the process?
Hi,
Thanks very much for providing the very-well documented code. I have a general question after reading the Topaz-Denoise: general deep denoising models for cryoEM and cryoET and going over the tutorials.
In particular, if one would like to reproduce the full training for U-net on Large dataset (both discussed in your paper supplementary) from scratch, what are the steps? Is there a short code snippet that could demonstrate the process?
Your feedback would be greatly appreciated!