Cryo-electron microscopy (CryoEM) has become a vital technique in structural biology. It is an interdisciplinary field that takes advantage of advances in biochemistry, physics, and image processing, among other disciplines. Innovations in these three basic pillars have contributed to the boosting of CryoEM in the past decade. This work reviews the main contributions in image processing to the current reconstruction workflow of single particle analysis (SPA) by CryoEM. Our review emphasizes the time evolution of the algorithms across the different steps of the workflow differentiating between two groups of approaches: analytical methods and deep learning algorithms. We present an analysis of the current state of the art. Finally, we discuss the emerging problems and challenges still to be addressed in the evolution of CryoEM image processing methods in SPA.

中文翻译：

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CryoEM中的新兴主题─单粒子分析图像处理

冷冻电子显微镜 (CryoEM) 已成为结构生物学中的一项重要技术。它是一个跨学科领域，利用了生物化学、物理学和图像处理等学科的进步。在过去十年中，这三个基本支柱的创新为 CryoEM 的发展做出了贡献。这项工作回顾了 CryoEM 在图像处理中对当前单粒子分析 (SPA) 重建工作流程的主要贡献。我们的评论强调了算法在工作流的不同步骤中的时间演变，区分了两组方法：分析方法和深度学习算法。我们对现有技术进行了分析。最后，