Real-time cryo-electron microscopy data preprocessing with Warp
Real-time cryo-electron microscopy data preprocessing with Warp
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DOI：
10.1038/s41592-019-0580-y
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发表时间：
2019-11-01
期刊：
影响因子：
48
通讯作者：
Cramer, Patrick
中科院分区：
文献类型：
--
作者：
Tegunov, Dimitry;Cramer, Patrick
从生物标本中获取低温电子显微镜（cryo-EM）数据必须与数据预处理紧密耦合，以确保最佳的数据质量和显微镜使用。在这里，我们描述Warp，这是一个软件，可以自动处理低温电镜数据采集的所有预处理步骤，并实现实时评估。Warp校正显微图的全局和局部运动，估计局部散焦，并实时监控每个记录的显微图或层析倾斜系列的关键参数。该软件还包括基于深度学习的模型，用于精确的颗粒拾取和图像去噪。Warp的输出可以输入到粒子分类和3d地图细化的既定程序中。我们的基准测试显示，已公布的流感病毒血凝素冷冻电镜数据集的标称分辨率从3.9埃提高到3.2埃。Warp很容易安装从http://github.com/cramerlab/warp和计算便宜，并有一个直观的，流线型的用户界面。
The acquisition of cryo-electron microscopy (cryo-EM) data from biological specimens must be tightly coupled to data preprocessing to ensure the best data quality and microscope usage. Here we describe Warp, a software that automates all preprocessing steps of cryo-EM data acquisition and enables real-time evaluation. Warp corrects micrographs for global and local motion, estimates the local defocus and monitors key parameters for each recorded micrograph or tomographic tilt series in real time. The software further includes deep-learning-based models for accurate particle picking and image denoising. The output from Warp can be fed into established programs for particle classification and 3D-map refinement. Our benchmarks show improvement in the nominal resolution, which went from 3.9 angstrom to 3.2 angstrom, of a published cryo-EM data set for influenza virus hemagglutinin. Warp is easy to install from http://github.com/cramerlab/warp and computationally inexpensive, and has an intuitive, streamlined user interface.