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• W3035467100 abstract "Abstract Single particle electron cryomicroscopy (cryo-EM) requires full automation to allow high-throughput structure determination which is especially important for drug discovery research. Although several software packages exist where parts of the cryo-EM pipeline are automated, a complete solution that offers reliable, quality-optimized on-the-fly processing, resulting in a high-resolution three-dimensional reconstruction does not exist. Here we present TranSPHIRE: A software package for fully automated processing of cryo-EM data sets during data acquisition. TranSPHIRE transfers data from the microscope, automatically applies the common pre-processing steps, picks particles, performs 2D clustering, and 3D refinement parallel to image recording. Importantly, TranSPHIRE introduces a machine learning-based feedback loop to re-train its internally used picking model to adapt to any given data set live during processing. This elegant approach enables TranSPHIRE to process data more effectively, producing high-quality particle stacks. TranSPHIRE collects, and displays all microscope settings and metrics generated by its individual tools, in order to allow users to quickly evaluate data during acquisition. TranSPHIRE can run on a single work station and also includes the automated processing of filaments." @default.
• W3035467100 created "2020-06-19" @default.
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• W3035467100 date "2020-06-17" @default.
• W3035467100 modified "2023-09-24" @default.
• W3035467100 title "TranSPHIRE: Automated and feedback-optimized on-the-fly processing for cryo-EM" @default.
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• W3035467100 doi "https://doi.org/10.1101/2020.06.16.155275" @default.
• W3035467100 hasPublicationYear "2020" @default.
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