AutoStructN2V Examples

Real-world examples demonstrating autoStructN2V on different types of microscopy data.

Available Examples

Electron Microscopy

Removing directional noise from EM volumes with the routed pipeline

Running the Examples

Each example includes:

• Instructions to obtain suitable data (the PhantEM benchmark is openly available)
• Working configuration snippets
• What to expect, and tips for adapting to your own data

Prerequisites

Before running these examples, make sure you have:

1. Installed autoStructN2V from source — see Getting Started (the package is not on PyPI)
2. A CUDA-capable GPU (recommended for training; mask discovery runs on CPU)
3. Read the Getting Started guide