bioRxivJClub
Particle picking and centering in cryo-electron micrographs via a vanishing radial kernel
bioRxiv · · Preprint · Open access
Heimowitz, SHARON
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
A training-free cryo-EM method finds particle centers by convolving micrographs with a vanishing radial kernel, enabling 3.68 Å and 4.30 Å reconstructions for Plasmodium falciparum 80S ribosome and β-galactosidase.
- Why it matters: Particle picking and centering are difficult because particles are weaker than noise and centering must work without assuming symmetric particles or relying on training.
- What they did: The approach performs one convolution with a compact radial kernel that increases with radius, saturates in an annulus, and vanishes beyond it; local response minima define centers, then grid seeds are updated, nearby endpoints merged, and 2D classification applied.
- The result: For the Plasmodium falciparum 80S ribosome and β-galactosidase data sets, reconstructions reach 3.68 Å and 4.30 Å (vs 3.77 Å and 4.36 Å with reference coordinates), with picking taking 0.20–0.26 s per micrograph.
The findingWhy it mattersWhat they didThe result
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