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PIXER: an automated particle-selection method based on segmentation using a deep neural network
2019
BMC Bioinformatics
Cryo-electron microscopy (cryo-EM) has become a widely used tool for determining the structures of proteins and macromolecular complexes. To acquire the input for single-particle cryo-EM reconstruction, researchers must select hundreds of thousands of particles from micrographs. As the signal-to-noise ratio (SNR) of micrographs is extremely low, the performance of automated particle-selection methods is still unable to meet research requirements. To free researchers from this laborious work and
doi:10.1186/s12859-019-2614-y
pmid:30658571
pmcid:PMC6339297
fatcat:jov3b7xhfvafrozg6wjvo2nipq