End-to-end localized deep learning for Cryo-ET
Cryo-electron tomography (cryo-ET) enables 3D visualization of cellular environments. Accurate reconstruction of high-resolution volumes is complicated by the very low signal-to-noise ratio and a rest...
I have been using CryoLithe recently as DeepDeWedge and cryoCARE erase many of the periplasmic complexes that I want to pick.
arxiv.org/abs/2501.15246
If you are unfortunate and have to manually pick particles. I have had the most success using the WARP deconvolution filter.
11.07.2025 00:01 β π 2 π 0 π¬ 1 π 0
My total reliance on Nvidia GPUs is a bit concerning.
27.05.2025 23:22 β π 0 π 0 π¬ 0 π 0
Has anyone encountered the issue of DM3 crashing and taking TIA with it during long tomo collections? If so, did you find a solution?
#Teamtomo #CryoET
30.11.2024 04:58 β π 0 π 1 π¬ 0 π 0
It seems like, no matter what technique you use, it's Fourier transforms all the way down.
27.11.2024 11:48 β π 0 π 0 π¬ 0 π 0
For tomography and STA, I feel like EMAN2 was ahead of its time. I am still confused as to why it isn't used by more people.
10.11.2024 08:32 β π 1 π 0 π¬ 0 π 0