1. Introduction  
2. Strategy of literature search  
3. Collections of key EM datasets  
4. Background of backbone deep learning networks for EM semantic and instance segmentation  
5. Fully supervised methods  
6. Semi-, un- and self-supervised methods  
7. Segmentation evaluation metrics  
8. Discussion and open challenges