卷积神经网络
人工智能
计算机科学
管道(软件)
深度学习
低温电子层析成像
模式识别(心理学)
膜蛋白
断层摄影术
计算机视觉
膜
化学
物理
生物化学
光学
程序设计语言
作者
Lorenz Lamm,Ricardo D. Righetto,Wojciech Wietrzyñski,Matthias Pöge,Antonio Martínez-Sánchez,Tingying Peng,Benjamin D. Engel
标识
DOI:10.1016/j.cmpb.2022.106990
摘要
MemBrain is a powerful and annotation-efficient tool for the detection of membrane protein complexes in cryo-ET data, with the potential to be used in a wide range of biological studies. It is generalizable to various kinds of tomograms, making it possible to use pretrained models for different tasks. Its efficiency in terms of required annotations also allows rapid training and fine-tuning of models. The corresponding code, pretrained models, and instructions for operating the MemBrain program can be found at: https://github.com/CellArchLab/MemBrain.
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