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February 21, 2026Biophysical Journal0 citations

BPS2026 – High-throughput fabrication of graphene-supported grids for cryo-EM sample preparation

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GZGongpu ZhaoXMXing Meng

Key Points

  • The aim is to develop a reliable method for high-throughput fabrication of graphene-supported grids for cryo-EM.
  • Present a high-throughput approach to produce graphene grids at scale
  • Utilize commercially available graphene
  • Confirm grid coverage using electron diffraction
  • Achieved substantial grid coverage with predominantly monolayer graphene
  • Consistently yielded thin ice layers (∼10 nm) with low background contrast
  • Enabled more efficient cryo-EM sample preparation and supported advancements in structural biology

Abstract

Graphene is a highly promising support film for cryo-EM sample preparation, offering improved sample concentration and reduced ice thickness. However, reproducible fabrication of graphene-supported grids has remained a challenge, often making the process time-consuming. Here, we present a high-throughput approach to reliably produce graphene grids at scale using commercially available graphene. Electron diffraction confirmed substantial grid coverage with predominantly monolayer graphene. This method consistently yielded thin ice layers (∼10 nm) with low background contrast, making it well-suited for studying small and challenging protein complexes. By streamlining grid production, our approach enables more efficient cryo-EM sample preparation and supports broader advancements in structural biology research.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/69990df65b97ab4c14ac2b14https://doi.org/10.1016/j.bpj.2025.11.1061
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Graphene in cryo-EM specimen optimization2024 · 7 citations
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  4. 4Tuning ice thickness using the chameleon for high-quality cryoEM data collection2024 · 4 citations
  5. 5A strategic approach for efficient cryo-EM grid optimization using design of experiments2024 · 2 citations