WikiSysop: Created page with "== Citation == Yonekura, K.; Maki-Yonekura, S.; Naitow, H.; Hamaguchi, T. & Takaba, K. Machine learning-based real-time object locator/evaluator for cryo-EM data collecti..."

2021-09-20T09:50:23Z

Created page with "== Citation == Yonekura, K.; Maki-Yonekura, S.; Naitow, H.; Hamaguchi, T. & Takaba, K. Machine learning-based real-time object locator/evaluator for cryo-EM data collecti..."

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== Citation ==

Yonekura, K.; Maki-Yonekura, S.; Naitow, H.; Hamaguchi, T. & Takaba, K. Machine learning-based real-time object locator/evaluator for cryo-EM data collection. Communications biology, 2021, 4, 1044

== Abstract ==

In cryo-electron microscopy (cryo-EM) data collection, locating a target object is 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 shows its effectiveness in rapidly and precisely locating carbon holes in single particle cryo-EM and in locating crystals and evaluating electron diffraction (ED) patterns in automated cryo-electron crystallography (cryo-EX) data collection. The proposed approach will advance high-throughput and accurate data collection of images and diffraction patterns with minimal human operation.

== Keywords ==

== Links ==

https://www.nature.com/articles/s42003-021-02577-1

== Related software ==

== Related methods ==

== Comments ==

2021Yonekura Hole - Revision history

WikiSysop: Created page with "== Citation == Yonekura, K.; Maki-Yonekura, S.; Naitow, H.; Hamaguchi, T. & Takaba, K. Machine learning-based real-time object locator/evaluator for cryo-EM data collecti..."