In situ scanning transmission electron microscopy is being developed for numerous applications in the study of nucleation and growth under electrochemical driving forces. For this type of experiment, one of the key parameters is to identify when nucleation initiates. Typically, the process of identifying the moment that crystals begin to form is a manual process requiring the user to perform an observation and respond accordingly (adjust focus, magnification, translate the stage, etc.). However, as the speed of the cameras being used to perform these observations increases, the ability of a user to “catch” the important initial stage of nucleation decreases (there is more information that is available in the first few milliseconds of the process). Here, we show that video shot boundary detection can automatically detect frames where a change in the image occurs. We show that this method can be applied to quickly and accurately identify points of change during crystal growth. This technique allows for automated segmentation of a digital stream for further analysis and the assignment of arbitrary time stamps for the initiation of processes that are independent of the user’s ability to observe and react.

中文翻译：

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在原位透射电子显微镜实验过程中，应用散粒边界检测进行自动晶体生长分析。

原位扫描透射电子显微镜正被开发用于电化学驱动力下的成核和生长研究中的许多应用。对于这种类型的实验，关键参数之一是确定成核何时开始。通常，识别晶体开始形成的时刻的过程是手动过程，需要用户执行观察并做出相应的响应（调整焦点，放大倍率，移动平台等）。但是，随着用于执行这些观察的摄像机速度的提高，用户“捕捉”成核的重要初始阶段的能力降低（在此过程的前几毫秒中可获得更多信息）。这里，我们证明了视频镜头边界检测可以自动检测图像发生变化的帧。我们表明，该方法可用于快速，准确地确定晶体生长过程中的变化点。该技术允许对数字流进行自动分段，以进行进一步分析，并为启动过程分配任意时间戳，这些过程独立于用户的观察和反应能力。