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An image processing pipeline for electron cryo-tomography in RELION-5. | LitMetric

AI Article Synopsis

  • Electron tomography enables researchers to determine the structures of macromolecular complexes in complex environments by averaging images of these molecules, leading to high-resolution models.* -
  • Many tools exist for processing these images, but the lack of standardization makes it challenging for newcomers to use them effectively.* -
  • The authors introduce a comprehensive image processing pipeline for electron tomography data in RELION-5, designed for ease of use and compatibility with other software, fostering standardization in the field.*

Article Abstract

Electron tomography of frozen, hydrated samples allows structure determination of macromolecular complexes that are embedded in complex environments. Provided that the target complexes may be localised in noisy, three-dimensional tomographic reconstructions, averaging images of multiple instances of these molecules can lead to structures with sufficient resolution for de novo atomic modelling. Although many research groups have contributed image processing tools for these tasks, a lack of standardisation and interoperability represents a barrier for newcomers to the field. Here, we present an image processing pipeline for electron tomography data in RELION-5, with functionality ranging from the import of unprocessed movies to the automated building of atomic models in the final maps. Our explicit definition of metadata items that describe the steps of our pipeline has been designed for interoperability with other software tools and provides a framework for further standardisation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532982PMC
http://dx.doi.org/10.1002/2211-5463.13873DOI Listing

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