Welcome 🎉

[hash-ir]

Welcome to SyConn Discussions!

Hello everyone! 👋

Thank you for stopping by our repository. We are excited to have you here and we hope you find what you're looking for. This is a place where collaboration and ideas come to life, and we are always eager to welcome new contributors and users.

🌟 What is SyConn about?

The word SyConn comes from Synaptic Connectivity. It is a connectomic analysis toolkit for automated synaptic connectivity inference based on dense EM segmentation data. SyConn uses deep convolutional neural networks (CNN) and random forest classifiers (RFC) to infer a richly-annotated synaptic connectivity matrix from manual neurite skeleton reconstructions by automatically identifying mitochondria, synapses and their types, axons, dendrites, spines, myelin, somata, and cell types.

🚀 Getting Started

If you're new here and want to do inference using SyConn, please check out Examples. Data and models will be provided upon request. If you want to run the analysis on your data, please check out docs/instructions.rst.

🤝 How to Contribute

• Raise an issue: If you find a bug or have a feature request, don't hesitate to create a new issue.
• Submit a Pull Request: If you've made improvements to this project, please submit a PR. We'd love to review it!
• Discussions: Feel free to start a new discussion if you have questions or need guidance.

📚 Resources

• Documentation
• SyConn Web
• Knossos Viewer
• ELEKTRONN

💬 Stay Connected

If you want to join hands and collaborate on a project, please write an email to me: [email protected]

Once again, welcome to the SyConn community! Let's build something amazing together! 🚀

Warm regards,
Hashir / Research Engineer @ Kornfeld Lab, Max Planck Institute for Biological Intelligence