v1.0.0

This is a mostly backward-compatible release of microDL that depends on TensorFlow 1.13 and Keras 2.1.6. Future releases will be based on PyTorch.

The release 1.0.0 provides:

• Comprehensive documentation of how to use the current pipeline. We describe the data format, CLI, and config files. We include example config files for preprocessing, training, and inference steps for virtual staining of label-free microscopy data using 2D U-Net and 2.5D U-Net models.
• Updated tutorial notebook originally used at the DL@MBL course 2022

v1.0.0-rc2

refined environment and notebooks for DLMBL 2022

v1.0.0-rc1

This release candidate contains following major code improvements relative to the code published with the paper (https://elifesciences.org/articles/55502v1):

• data pooling that enables virtual staining in tissues.
• updates to the code developed during the DL@MBL course 2021.
• features integrated for robust virtual staining.
• (WIP) revised notebooks for the DL@MBL course 2022.