BenjaminHimes
SBGridNew Title Alert: Follow_Relion_Gracefully- a complete dashboard for easy interaction with your cryo-EM data in Relion, now with full #teamtomo support!
Learn more here: https://github.com/dzyla/Follow_Relion_gracefully
Guillaume GaullierOne highlight from Friday that I forgot: Alister Burt's talk on his efforts to build #TeamTomo, a set of community-supported software packages and metadata standards for #cryoET. This is difficult work, and less rewarding for those in academia, but so essential. It's great to see progress on this front.
The other great news from Alister's talk: Warp is now supported on Linux!
Finally, I'll remember his advice "think about geometry, and use it if you can" when assigning initial particle orientations for subtomogram averaging.
Emil GustavssonOkay, so I'm not switching completely to #teamtomo
Helical reconstruction of #amyloids can be quite fun when you get beautiful structures like this!
And thanks to @sjorsscheres.bsky.social for the suggestion of higher order symmetries, it was indeed the case 😉🧪🧬🧶
#TeamTomo is having a competition to annotate #cryoET tomograms: https://cryoetdataportal.czscience.com/competition
This is a good initiative! Especially the metadata format standardization part. I hope several good 3D particle picking programs will emerge from this.
Kyle Harringtonhttps://www.biorxiv.org/content/10.1101/2024.05.30.596601v1
We made Surforama to support particle picking on surfaces, particularly for cryoET. You can visualize surfaces in the tomogram to localize, label, and analyze proteins or other particle types.
It runs as a @napari plugin and in standalone mode.
Mitosis LabCome see our deeper dive into human chromatin in situ at #cellbio2023. #teamtomo study led by Jon Chen and Tingsheng Liu. Poster P2005, Board B281, Monday Dec 4. Preprint: https://www.biorxiv.org/content/10.1101/2023.07.31.551204v1.full
RahelWoldeyes5/5 A big thank you to our collaborators and #teamtomo!
Very excited to share our paper. https://www.biorxiv.org/content/10.1101/2023.10.26.564098v1
We combine cutting-edge developments in cryo-electron tomography with hiPSC-cardiomyocytes to visualize cardiac proteins in their cellular context in health and disease. #cryoem #teamtomo #cryoet
🧵 1/5
We combine cutting-edge developments in cryo-electron tomography with hiPSC-cardiomyocytes to visualize cardiac proteins in their cellular context in health and disease. #cryoem #teamtomo #cryoet
🧵 1/5
Ricardo RighettoCool article about the current state of #cryoET #teamTOMO
Catching proteins at play: the method revealing the cell’s inner mysteries
https://www.nature.com/articles/d41586-023-02909-7
