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Updated: May 10, 2026

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
Published on: March 19, 2021
Noise models and cryo-EM drift correction with a direct-electron camera
1Department of Cellular and Molecular Physiology, Yale University, 333 Cedar Street, New Haven, CT 06520, United States. hideki.shigematsu@yale.edu
Abstract:
Blurring due to specimen-holder drift is a common occurrence in cryo-EM images. Cameras employing active-pixel sensors are capable of high frame rates such that a single low-dose exposure can be acquired as a series of frames. In this paper we consider the possibility of tracking and compensating for overall drift in typical single-particle specimens through the analysis of frame sequences. A problem that arises in tracking through cross-correlation of frames obtained with the DE-12 camera from Direct Electron LLC is the presence of "hot-pixel noise". This random pattern of bright pixels is highly correlated among frames. We show how a model of this noise can be employed to greatly reduce its effects. A filter function is derived that optimizes the tracking of image shifts by cross-correlation, and we demonstrate the tracking of specimen drift in typical cryo-EM specimens.
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