Deep STORM

Deep-STORM:

Deep-STORM is a deep learning pipeline developed by Nehme et al., see original publication here for single molecule localization microscopy reconstruction which we have adapted for use in ZeroCostDL4Mic.

Important disclaimer

Deep-STORM was described in the following papers:

• Deep-STORM: super-resolution single-molecule microscopy by deep learning by Elias Nehme, Lucien E. Weiss, Tomer Michaeli, and Yoav Shechtman

Deep-STORM original code and documentation is freely available in GitHub

Please also cite these original papers when using Deep-STORM with our notebook.

Data required to train Deep-STORM

Sample preparation and image acquisition

Training Deep-STORM in Google Colab

To train Deep-STORM in Google Colab:

Network	Link to example training and test dataset	Direct link to notebook in Colab
Deep-STORM	here

or:

• Download our streamlined ZeroCostDL4Mic notebooks

• Open Google Colab

• Once the notebook is open, follow the instructions.