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SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM

机译:SPHIRE-crYOLO是适用于cryo-EM的快速准确的全自动颗粒采集器

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摘要

Selecting particles from digital micrographs is an essential step in single-particle electron cryomicroscopy (cryo-EM). As manual selection of complete datasets—typically comprising thousands of particles—is a tedious and time-consuming process, numerous automatic particle pickers have been developed. However, non-ideal datasets pose a challenge to particle picking. Here we present the particle picking software crYOLO which is based on the deep-learning object detection system You Only Look Once (YOLO). After training the network with 200–2500 particles per dataset it automatically recognizes particles with high recall and precision while reaching a speed of up to five micrographs per second. Further, we present a general crYOLO network able to pick from previously unseen datasets, allowing for completely automated on-the-fly cryo-EM data preprocessing during data acquisition. crYOLO is available as a standalone program under and is distributed as part of the image processing workflow in SPHIRE.
机译:从数字显微照片中选择颗粒是单颗粒电子冷冻显微镜(cryo-EM)必不可少的步骤。由于手动选择通常包含数千个粒子的完整数据集是一个繁琐且耗时的过程,因此开发了许多自动粒子选取器。但是,非理想数据集对粒子拾取提出了挑战。在这里,我们介绍了基于深度学习目标检测系统You Only Look Once(YOLO)的粒子拾取软件crYOLO。用每个数据集200–2500个粒子训练网络后,它会自动识别具有较高查全率和精度的粒子,同时达到每秒多达5张显微照片的速度。此外,我们提供了一个通用的crYOLO网络,该网络可以从以前看不见的数据集中进行选择,从而可以在数据采集期间实现全自动的实时冷冻EM数据预处理。 crYOLO可作为SPHIRE中图像处理工作流程的一部分作为独立程序使用并分发。

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