bioRxiv · 10.1101/2021.04.07.438905
Real-time object locator for cryo-EM data collection--- You only navigate EM once ---
Abstract
In cryo-electron microscopy (cryo-EM) data collection, locating a target object is the most error-prone. Here, we present a machine learning-based approach with a real-time object locator named yoneoLocr using YOLO, a well-known object detection system. Implementation showed its effectiveness in rapidly and precisely locating carbon holes in single particle cryo-EM and for locating crystals and evaluating electron diffraction (ED) patterns in automated cryo-electron crystallography (cryo-EX) data collection.
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Yonekura, K., Maki-Yonekura, S., Naitow, H., Hamaguchi, T., Takaba, K.. 2021-04-09. Real-time object locator for cryo-EM data collection--- You only navigate EM once ---. https://doi.org/10.1101/2021.04.07.438905
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