Significant inventions about electron microscopes have been attained in the last two decades. One of the most important inventions is of the aberration-correction techniques, which continue to spread over research laboratories in the world. Thanks to the picometer-sized electron probe produced by the aberration correction, for example, the precision in crystal-structure analysis and/or chemical mapping using scanning transmission electron microscopy has been dramatically improved. Regarding the data collections, a sophisticated complementary metal oxide semiconductor (CMOS) camera allows for collecting a huge number of images in a short acquisition time. The high sensitivity of CMOS camera is advantageous for observations of organic and/or biological specimens in a minimum electron-dose condition. Single particle analysis for protein crystals is a successful application of the high-sensitivity CMOS cameras to transmission electron microscopy. Following these advancements in the hardware, we have encountered a new stage of further improvement in the imaging and spectroscopy with the aid of information science, including artificial intelligence (AI) and other method of statistical mathematics. This special issue collects several articles, from both research fields of life science and materials science, related to the applications of the information science to electron microscopy.

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对于显微镜，有关“ AI和成像”的特刊。

在过去的二十年中，已经取得了有关电子显微镜的重大发明。像差校正技术是最重要的发明之一，其继续在世界各地的研究实验室中传播。例如，由于通过像差校正产生的皮米级电子探针，使用扫描透射电子显微镜的晶体结构分析和/或化学作图的精度得到了显着提高。关于数据收集，先进的互补金属氧化物半导体（CMOS）相机可在短时间内采集大量图像。CMOS相机的高灵敏度有利于在最小电子剂量条件下观察有机和/或生物样本。蛋白质晶体的单颗粒分析是高灵敏度CMOS相机在透射电子显微镜中的成功应用。随着硬件的这些进步，借助信息科学（包括人工智能（AI）和其他统计数学方法），我们在成像和光谱学方面遇到了进一步改进的新阶段。本期特刊收集了来自生命科学和材料科学两个研究领域的几篇与信息科学在电子显微镜中的应用有关的文章。包括人工智能（AI）和其他统计数学方法。本期特刊收集了来自生命科学和材料科学两个研究领域的几篇与信息科学在电子显微镜中的应用有关的文章。包括人工智能（AI）和其他统计数学方法。本期特刊收集了来自生命科学和材料科学两个研究领域的几篇与信息科学在电子显微镜中的应用有关的文章。