#teamTomo
We’ve updated our preprint! It now covers the full MemBrain v2 pipeline for end-to-end membrane analysis in #CryoET: segmentation, particle picking, and spatial statistics.
🔗 Preprint: doi.org/10.1101/2024...
🔗 Code: github.com/CellArchLab/...
🧵(1/6) #TeamTomo
Preprint here!:
www.biorxiv.org/content/10.6...
@cellarchlab.com @phaips.vd.st @biologyatyork.bsky.social
#Rubisco #PhaseSeparation #Condensates #Pyrenoid
Preprint here!:
www.biorxiv.org/content/10.6...
@cellarchlab.com @phaips.vd.st @biologyatyork.bsky.social
#Rubisco #PhaseSeparation #Condensates #Pyrenoid
This beautiful rendering made by co-author @jessheebner.bsky.social and Holly Peterson shows an instance of mitochondrial fission found in the dataset 😍
[Maybe long thread ahead]
This beautiful rendering made by co-author @jessheebner.bsky.social and Holly Peterson shows an instance of mitochondrial fission found in the dataset 😍
[Maybe long thread ahead]
Read @lifeonthewedge.bsky.social's great thread🧵 for the inside scoop🍨 on all the #TeamTomo developments already made possible since these 1829 tomos hit EMPIAR 🧪 🧶🧬
For more, here's the old preprint thread:
bsky.app/profile/cell...
This beautiful rendering made by co-author @jessheebner.bsky.social and Holly Peterson shows an instance of mitochondrial fission found in the dataset 😍
[Maybe long thread ahead]
Read @lifeonthewedge.bsky.social's great thread🧵 for the inside scoop🍨 on all the #TeamTomo developments already made possible since these 1829 tomos hit EMPIAR 🧪 🧶🧬
For more, here's the old preprint thread:
bsky.app/profile/cell...
🔗 Preprint: doi.org/10.48550/arX...
🔗 Code: github.com/peng-lab/rmlp
🧵1/9
🔗 Preprint: doi.org/10.48550/arX...
🔗 Code: github.com/peng-lab/rmlp
🧵1/9
@virtualhomo.bsky.social found an elegant way to regularize DINOv2 training using randomised linear algebra 🤯
Check out his thread or even his poster if you're at #NeurIPS2025.
@virtualhomo.bsky.social found an elegant way to regularize DINOv2 training using randomised linear algebra 🤯
Check out his thread or even his poster if you're at #NeurIPS2025.
So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3
So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3
New features include:
* Training on multiple tomograms (same training time, with linear increase in RAM) 🚀
* Logging and plotting of the loss function 📉
* The --scale option is now called --eq-weight for clarity 😉
We'd love to hear your feedback! 🙏🏽
New features include:
* Training on multiple tomograms (same training time, with linear increase in RAM) 🚀
* Logging and plotting of the loss function 📉
* The --scale option is now called --eq-weight for clarity 😉
We'd love to hear your feedback! 🙏🏽
napari.org/island-dispa...
napari.org/island-dispa...
Here, we used #CryoET to visualise mitochondrial proteostatic stress and together with SPA #CryoEM shed light into the functional cycle of the Hsp60:10 chaperone system. #TeamTomo
🔗 www.biorxiv.org/content/10.1...
Here, we used #CryoET to visualise mitochondrial proteostatic stress and together with SPA #CryoEM shed light into the functional cycle of the Hsp60:10 chaperone system. #TeamTomo
🔗 www.biorxiv.org/content/10.1...
#TeamTomo #PlantScience 🧪 🧶🧬 🌾
elifesciences.org/articles/105...
1/🧵
#TeamTomo #PlantScience 🧪 🧶🧬 🌾
elifesciences.org/articles/105...
1/🧵
buff.ly/j3TSIkn
buff.ly/j3TSIkn
We built a phantom cryo-ET dataset (~500 tomograms) + hosted a Kaggle challenge.
The result: community models beat expert tools.
Read more in the @natmethods.nature.com article that just came out:
🔗 doi.org/10.1038/s415...
We built a phantom cryo-ET dataset (~500 tomograms) + hosted a Kaggle challenge.
The result: community models beat expert tools.
Read more in the @natmethods.nature.com article that just came out:
🔗 doi.org/10.1038/s415...
Through the dedication of @glynnca.bsky.social and @cryingem.bsky.social we report a thorough method to image molecular organisation within hippocampus tissue.
Structural biology in tissue is well and truly here!
@rosfrankinst.bsky.social
Through the dedication of @glynnca.bsky.social and @cryingem.bsky.social we report a thorough method to image molecular organisation within hippocampus tissue.
Structural biology in tissue is well and truly here!
@rosfrankinst.bsky.social
📅 1 July 9AM CEST
🔗 tinyurl.com/4mjaverj
Spread the word!
@protistwtmostest.bsky.social @ehehenberger.bsky.social @chandnibhickta.bsky.social&Norico Yamada
📅 1 July 9AM CEST
🔗 tinyurl.com/4mjaverj
Spread the word!
@protistwtmostest.bsky.social @ehehenberger.bsky.social @chandnibhickta.bsky.social&Norico Yamada
You'll find a tutorial on how to reconstruct tomograms, pick particles and do subtomogram averaging, using different software!
Hope it will be useful !
You'll find a tutorial on how to reconstruct tomograms, pick particles and do subtomogram averaging, using different software!
Hope it will be useful !
Ever been in need of a tutorial about the fundamentals of cryo-electron tomography? From preprocessing raw frames to high-res subtomogram averaging?
That's why @florentwaltz.bsky.social and I made this website!
tomoguide.github.io
Follow the thread 1 /🧵
#CryoET #CryoEM 🔬🧪
Ever been in need of a tutorial about the fundamentals of cryo-electron tomography? From preprocessing raw frames to high-res subtomogram averaging?
That's why @florentwaltz.bsky.social and I made this website!
tomoguide.github.io
Follow the thread 1 /🧵
#CryoET #CryoEM 🔬🧪
paper: www.biorxiv.org/content/10.1...
w/ @computingnature.bsky.social 1/n
paper: www.biorxiv.org/content/10.1...
w/ @computingnature.bsky.social 1/n
Cryo-ET membrane analysis via deep learning.
Cryo-ET membrane analysis via deep learning.
We’ve updated our preprint! It now covers the full MemBrain v2 pipeline for end-to-end membrane analysis in #CryoET: segmentation, particle picking, and spatial statistics.
🔗 Preprint: doi.org/10.1101/2024...
🔗 Code: github.com/CellArchLab/...
🧵(1/6) #TeamTomo
We’ve updated our preprint! It now covers the full MemBrain v2 pipeline for end-to-end membrane analysis in #CryoET: segmentation, particle picking, and spatial statistics.
🔗 Preprint: doi.org/10.1101/2024...
🔗 Code: github.com/CellArchLab/...
🧵(1/6) #TeamTomo
If you feel like trying one of our modules or even the full pipeline, please let us know how it goes. We are happy for any feedback and would love to improve MemBrain v2 even further to make it as helpful for the community as possible.
🧵(6/6)
If you feel like trying one of our modules or even the full pipeline, please let us know how it goes. We are happy for any feedback and would love to improve MemBrain v2 even further to make it as helpful for the community as possible.
🧵(6/6)