What shapes template-matching performance in cryogenic electron tomography in situ?

ABSTRACT: The detection of specific biological macromolecules in cryogenic electron tomography data is frequently approached by applying cross-correlation-based 3D template matching. To reduce computational cost and noise, high binning is used to aggregate voxels before template matching. This remains a prevalent practice in both practical applications and methods development. Here, the relation between template size, shape and angular sampling is systematically evaluated to identify ribosomes in a ground-truth annotated data set. It is shown that at the commonly used binning, a detailed subtomogram average, a sphere and a heart emoji result in near-identical performance. These findings indicate that with current template-matching practices macromolecules can only be detected with high precision if

SUBMITTER: Maurer VJ 

PROVIDER: S-EPMC11154592 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature