UPicker:一种半监督的颗粒采集变压器方法,用于冷-电磁显微镜
Chi Zhang1, Yiran Cheng2, Kaiwen Feng1
1State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310058, Zhejiang, China.
Briefings in bioinformatics
|December 10, 2024
概括
UPicker是一种新的半监督方法,通过使用未标记的数据进行初始训练来改进冷电子显微镜的粒子选择. 这减少了对手工标签的依赖,提高了结构重建的准确性和稳定性.
科学领域:
- 结构生物学 结构生物学
- 生物物理学的生物物理.
- 计算生物学 计算生物学
背景情况:
- 自动粒子采集对于冷电子显微镜 (cryo-EM) 结构重建至关重要.
- 当前的深度学习方法需要广泛的手动标签,导致偏差和噪音数据的低于最佳性能.
研究的目的:
- 开发UPicker,一种半监督的基于变压器的方法,用于在冷EM中准确和强大的颗粒采集.
- 为了减少对劳动密集型手动数据标签的需求.
主要方法:
- UPicker采用了两阶段的培训:无监督的预培训,采用适应拉普拉斯的高斯 (LoG) 区域提案生成器进行伪标签,然后进行监督的微调.
- 采用对比性报名和混合数据增强来提高性能和处理有限的标记数据.
主要成果:
- UPicker 在模拟和实验冷电磁数据集上实现了最先进的准确性和稳定性.
- 与现有方法相比,表现出优越的性能,特别是在有限的标记数据下.
结论:
- UPicker提供了一种有效的半监督方法,用于冷EM中单颗粒采集.
- 该方法显著降低了手动标签的负担,同时提高了重建质量.
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