MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms
2022-09 | journal article; research paper
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Cite this publication
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms
Lamm, L.; Righetto, R. D; Wietrzynski, W.; Pöge, M.; Martinez-Sanchez, A.; Peng, T. & Engel, B. D (2022)
Computer Methods and Programs in Biomedicine, 224 art. 106990. DOI: https://doi.org/10.1016/j.cmpb.2022.106990
Documents & Media
Details
- Authors
- Lamm, Lorenz; Righetto, Ricardo D; Wietrzynski, Wojciech; Pöge, Matthias; Martinez-Sanchez, Antonio; Peng, Tingying; Engel, Benjamin D
- Abstract
- Cryo-electron tomography (cryo-ET) is an imaging technique that enables 3D visualization of the native cellular environment at sub-nanometer resolution, providing unpreceded insights into the molecular organization of cells. However, cryo-electron tomograms suffer from low signal-to-noise ratios and anisotropic resolution, which makes subsequent image analysis challenging. In particular, the efficient detection of membrane-embedded proteins is a problem still lacking satisfactory solutions.
- Issue Date
- September-2022
- Journal
- Computer Methods and Programs in Biomedicine
- Project
- EXC 2067: Multiscale Bioimaging
- Working Group
- RG Fernández-Busnadiego (Structural Cell Biology)
- External URL
- https://mbexc.uni-goettingen.de/literature/publications/511
- ISSN
- 0169-2607
- eISSN
- 1872-7565
- Language
- English
