ArticleNature methods2026
EasyGrid: a versatile platform for automated cryo-EM sample preparation and quality control.
Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- CryoWriter: a robotic solution for improved Cryo-EM grid preparation.Nature communications · 2026Article
- Advances of 3D microcrystals electron diffraction for transmembrane protein structure determination.Biophysical journal · 2026Review
- Microsecond Time-Resolved Cryo-EM Based on Jet Vitrification.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
30 authors.
Funding
Abstract
Optimized sample preparation is essential for imaging biological macromolecules in their native state using single-particle cryo-electron microscopy (cryo-EM) or in situ cryo-electron tomography (cryo-ET). Here we present EasyGrid, a modular, automated platform designed to streamline and standardize cryo-EM/ET sample preparation. EasyGrid integrates in-line plasma treatment of the sample support, microfluidic dispensing, blot-less sample spreading, jet-based vitrification and grid quality control via light interferometry. We demonstrate its effectiveness by preparing grids for multiple purified macromolecular complexes and resolving their structures with cryo-EM. Additionally, EasyGrid achieves improved vitrification of large mammalian cells compared to conventional plunge-freezing. By enabling systematic and high-throughput optimization, EasyGrid provides a robust and time-saving solution for both structural and cellular cryo-EM applications.
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Registered trials
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