Efficient, reproducible and accountable single-particle cryo-electron microscopy structure determination is tedious and often impeded by the lack of a standardized procedure for data analysis and processing. To address this issue, we have developed the FMI Live Analysis and Reconstruction Engine (CryoFLARE). CryoFLARE is a modular open-source platform offering easy integration of new processing algorithms developed by the cryo-EM community. It provides a user-friendly interface that allows fast setup of standardized workflows, serving the need of pharmaceutical industry and academia alike who need to optimize throughput of their microscope. To consistently document how data is processed, CryoFLARE contains an integrated reporting facility to create reports. Live analysis and processing parallel to data acquisition are used to monitor and optimize data quality. Problems at the level of the sample preparation (heterogeneity, ice thickness, sparse particles, areas selected for acquisition, etc.) or misalignments of the microscope optics can quickly be detected and rectified before data collection is continued. Interfacing with automated data collection software for retrieval of acquisition metadata reduces user input needed for analysis, and with it minimizes potential sources of errors and workflow inconsistencies. Local and remote export support in Relion-compatible job and data format allows seamless integration into the refinement process. The support for nonlinear workflows and fine-grained scheduling for mixed workflows with separate CPU and GPU based calculation steps ensures optimal use of processing hardware. CryoFLARE’s flexibility allows it to be used for all types of image acquisitions, ranging from sample screening to high-resolution data collection, and it offers a new alternative for setting up image processing workflows. It can be used without modifications of the hardware/software delivered by the microscope supplier. As it runs on a server in parallel to the hardware used for acquisition, it can easily be set up for remote display connections and fast control of the acquisition status.

中文翻译：

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使用CryoFLARE实时分析和重建单颗粒低温电子显微镜数据。

高效，可重现和负责任的单粒子低温电子显微镜结构测定很繁琐，并且常常由于缺乏用于数据分析和处理的标准化程序而受到阻碍。为了解决此问题，我们开发了FMI实时分析和重建引擎（CryoFLARE）。CryoFLARE是一个模块化的开源平台，可轻松集成cryo-EM社区开发的新处理算法。它提供了用户友好的界面，可以快速设置标准化的工作流程，从而满足需要优化显微镜通量的制药行业和学术界的需求。为了始终如一地记录数据的处理方式，CryoFLARE包含用于创建报告的集成报告工具。实时分析和与数据采集并行的处理用于监视和优化数据质量。在继续进行数据收集之前，可以快速检测并纠正样品制备方面的问题（异质性，冰厚，稀疏颗粒，选择采集的区域等）或显微镜光学系统的不对准。与用于获取采集元数据的自动数据收集软件的接口减少了分析所需的用户输入，并最大程度地减少了潜在的错误源和工作流程不一致。与Relion兼容的作业和数据格式的本地和远程导出支持允许无缝集成到优化过程中。通过基于CPU和GPU的独立计算步骤，对非线性工作流的支持以及对混合工作流的细粒度计划，确保了处理硬件的最佳利用。CryoFLARE的灵活性使其可以用于从样本筛选到高分辨率数据收集的所有类型的图像采集，并且它为设置图像处理工作流提供了新的选择。无需修改显微镜供应商提供的硬件/软件即可使用。由于它在服务器上与用于采集的硬件并行运行，因此可以轻松地将其设置为远程显示连接和快速控制采集状态。它为设置图像处理工作流提供了新的选择。无需修改显微镜供应商提供的硬件/软件即可使用。由于它在服务器上与用于采集的硬件并行运行，因此可以轻松设置它以进行远程显示连接并快速控制采集状态。它为设置图像处理工作流提供了新的选择。无需修改显微镜供应商提供的硬件/软件即可使用。由于它在服务器上与用于采集的硬件并行运行，因此可以轻松地将其设置为远程显示连接并快速控制采集状态。