About 3DEM.org

This web-based research platform was developed beginning in 2017 as part of the Enhanced resolution for 3DEM analysis of synapses across brain regions and taxa project led by Professor Kristen Harris at the University of Texas-Austin, James Carson at the Texas Advanced Computing Center, and Terry Sejnowski at The Salk Institute for Biological Studies. This project is funded by the National Science Foundation (DBI-1707356) as part of the Next Generation Network for Neuroscience (NeuroNex) program.  3DEM.org is focused on supporting and disseminating new technologies for enhanced resolution 3-dimensional electron microscopy (3DEM).  By integrating this new data collection technology with public high performance computing, we leverage additional computational power to process even larger datasets, and to promote reproducibility and sharing of techniques.

In 2020, Professor Harris began leading a new NeuroNex international project NeuroNex: Enabling Identification and Impact of Synaptic Weight in Functional Networks with 10 other U.S. institutions and global partners to further the understanding of the human brain (press release).  3DEM.org will play a central role in facilitating this global collaboration and sharing its data, approaches, and results with the public.

All visitors to 3DEM.org may download the latest public datasets.  Users with active TACC accounts and allocations may in the near future request access to the interactive 3DEM Workbench.  Within the Workbench, users can access community datasets, workflows, and applications.  Users may also share their data and processes with other users.

Citation:

Carson, J., Fonner, J., Vaughn, M., Niall, G., Brown, T., Stubbs, J., Rosenburg, J., Tijerina, S., Allen, W., Ferlanti, E., Urrutia, J., Song, J., Prochaska, H., Chuah, J.-Y., Weston, M., Sejnowski, T., Harris, K., & Dahan, M. (2023, October 30). Facilitating collaborative science through portals connected to high-performance computing. Science Gateways 2023 (SG23), Pittsburgh, PA. https://doi.org/10.5281/zenodo.10034840