ArticleStructure (London, England : 1993)2022
IceBreaker: Software for high-resolution single-particle cryo-EM with non-uniform ice.
Article in Structure (London, England : 1993), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Combining Cryo-EM with Computational Approaches To Revolutionize Structural Biology.The protein journal · 2025Review
- Nickel-NTA lipid-monolayer affinity grids allow for high-resolution structure determination by cryo-EM.Journal of structural biology · 2025Article
- Advances in cryo-electron microscopy (cryoEM) for structure-based drug discovery.Expert opinion on drug discovery · 2025Review
- Ice thickness monitoring for cryo-EM grids by interferometry imaging.Scientific reports · 2022Article
- MeasureIce: accessible on-the-fly measurement of ice thickness in cryo-electron microscopy.Communications biology · 2022Article
- Thicker Ice Improves the Integrity and Angular Distribution of CDC48A Hexamers on Cryo-EM Grids.Frontiers in molecular biosciences · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Despite the abundance of available software tools, optimal particle selection is still a vital issue in single-particle cryoelectron microscopy (cryo-EM). Regardless of the method used, most pickers struggle when ice thickness varies on a micrograph. IceBreaker allows users to estimate the relative ice gradient and flatten it by equalizing the local contrast. It allows the differentiation of particles from the background and improves overall particle picking performance. Furthermore, we introduce an additional parameter corresponding to local ice thickness for each particle. Particles with a defined ice thickness can be grouped and filtered based on this parameter during processing. These functionalities are especially valuable for on-the-fly processing to automatically pick as many particles as possible from each micrograph and to select optimal regions for data collection. Finally, estimated ice gradient distributions can be stored separately and used to inspect the quality of prepared samples.
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Registered trials
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