cryo-ET particle picking by representation and metric learning
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Updated
Jul 31, 2024 - Python
cryo-ET particle picking by representation and metric learning
TomoNet is a GUI based pipeline package focusing on cryoET and STA data processing
KLT picker: Particle picking using data-driven optimal templates (Python version)
REliable PIcking by Consensus (REPIC) - an ensemble learning methodology for cryo-EM particle picking
Cellular content mining and particle localization
2D NN-based particle picking from sparse labels
Plot metrics from a Topaz training run
REliable PIcking by Consensus (REPIC)
Web application in Dash and Plotly.js for displaying cryo-EM micrographs and visualizing coordinate overlays.
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