Swiss State Secretariat for Education, Research and Innovation
M822.00045
Switzerland
Citation
Journal: Nat Methods / Year: 2026 Title: MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography. Authors: Lorenz Lamm / Simon Zufferey / Hanyi Zhang / Ricardo D Righetto / Florent Waltz / Wojciech Wietrzynski / Kevin A Yamauchi / Alister Burt / Ye Liu / Antonio Martinez-Sanchez / Sebastian ...Authors: Lorenz Lamm / Simon Zufferey / Hanyi Zhang / Ricardo D Righetto / Florent Waltz / Wojciech Wietrzynski / Kevin A Yamauchi / Alister Burt / Ye Liu / Antonio Martinez-Sanchez / Sebastian Ziegler / Fabian Isensee / Julia A Schnabel / Benjamin D Engel / Tingying Peng / 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, ...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.
Applied symmetry - Point group: C1 (asymmetric) / Algorithm: BACK PROJECTION / Resolution.type: BY AUTHOR / Resolution: 22.7 Å / Resolution method: FSC 0.143 CUT-OFF / Software - Name: STOPGAP (ver. 0.7.1) / Number subtomograms used: 4515
Extraction
Number tomograms: 92 / Number images used: 4515 / Software - Name: STOPGAP (ver. 0.7.4) Software - details: As detailed above, the particles were first selected using the MemBrain-pick package, and subsequently extracted using STOPGAP. Details: Particles were picked using MemBrain-pick and extracted using STOPGAP.
CTF correction
Software:
Name
details
TOMOMAN
CTF estimation using TILTCTF module
IMOD
Details: Tilt series CTF estimation was done using the TILTCTF program from TOMOMAN v0.9. CTF-corrected tomograms were calculated using IMOD. Type: PHASE FLIPPING ONLY
Final angle assignment
Type: OTHER / Software - Name: STOPGAP (ver. 0.7.1)
FSC plot (resolution estimation)
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