About Us¶

This project was started by Zudi Lin (@zudi-lin) and Donglai Wei (@donglaiw) in 2019 and supported by the Visual Computing Group (VCG) at Harvard University. PyTorch Connectomics is currently under active development, and besides handling connectomics data collected with electron microscopy (EM), we are extending the application to other biological structures and more imaging modalities (e.g., micro-CT, fluorescence light microscopy).

Authors¶

The following people are currently core contributors to PyTorch Connectomics’s development and maintenance:

Zudi Lin - Ph.D. student at Harvard University
Donglai Wei - Postdoctoral scholar at Harvard University

Advisors¶

The following people regularly provide suggestions on the design and future directions of the package:

Hanspeter Pfister - Professor of Computer Science, Harvard University
Jeff Lichtman - Professor of Molecular and Cellular Biology, Harvard University

Contributing¶

We would like to thank all current and previous contributors to the PyTorch Connectomics package.

We are looking for motivated contributors to become collaborators and help out with the project. Besides opening issues and pull request on Github, please join our Slack community to discuss bugs and feature requests. If you are interested in working on this as a research intern at the Visual Computing Group at Harvard University, please contact Zudi (@zudi-lin) via email (linzudi@g.harvard.edu) for more details.

Citation¶

If you use PyTorch Connectomics in a scientific publication, we would appreciate citations to the project.

@misc{lin2019pytorchconnectomics,
author =       {Zudi Lin and Donglai Wei},
title =        {PyTorch Connectomics},
howpublished = {\url{https://github.com/zudi-lin/pytorch_connectomics}},
year =         {2019}
}