Nature Methods· 2026Q1
MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography
- 153citations
- Q1SCImago
- 2026year
Short summary
MemBrain v2 is a deep-learning framework that automates membrane segmentation, particle localization, and quantitative analysis in cryo-electron tomography (cryo-ET), overcoming limitations of existing tools.
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Key points
- MemBrain v2 integrates membrane segmentation, particle localization, and quantitative analysis for cryo-ET.
- MemBrain-seg achieves generalizable membrane segmentation using diverse training data and specialized strategies.
- MemBrain-pick uses geometric constraints and deep learning for data-efficient particle localization, reducing manual effort.
- MemBrain-stats provides quantitative spatial metrics for analyzing particle organization within membranes.
AI-generated from the title and abstract; the full text is not read.
Abstract
Cryo-electron tomography provides unique insights into macromolecular complexes in their native environments, yet membrane analysis remains a major bottleneck due to low signal-to-noise ratios, missing wedge artifacts and the complexity of membrane-associated particles. Existing tools often require extensive manual annotation, struggle with generalization across datasets and lack integrated solutions for segmentation, particle localization and quantitative analysis. We introduce MemBrain v2, a deep-learning-enabled framework that unifies these tasks into a streamlined pipeline. MemBrain-seg leverages a diverse, collaboratively generated training dataset and specialized model training strategies to achieve generalizable membrane segmentation across variable tomographic conditions. MemBrain-pick enables data-efficient localization of membrane-bound particles by integrating geometric constraints with deep learning, reducing the need for extensive manual annotation. MemBrain-stats provides quantitative insights into particle distributions, computing spatial metrics to analyze intramembrane particle organization. MemBrain v2 integrates seamlessly into cryo-electron tomography workflows, providing an accessible and structured approach to membrane analysis.
The authors' abstract, as published at the source. Nature Methods, 2026 · DOI ↗
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