ReviewCurrent opinion in structural biology2025
A practical look at cryo-electron tomography image processing: Key considerations for new biological discoveries.
Review in Current opinion in structural biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Semi-supervised clustering with knowledge-guided representation learning in cryo-electron tomography.PLOS digital health · 2026Article
- Capturing ribosomal structures in cellular extracts with cryoPRISM: A purification-free cryoEM approach reveals novel structural states.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Biological Breakthroughs and Drug Discovery Revolution via Cryo-Electron Microscopy of Membrane Proteins.Membranes · 2025Review
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Authors and funding
1 author.
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Abstract
Cryo-electron tomography (cryo-ET) enables 3D visualization of complex biological environments without the need for purification, thereby preserving the native biological context of the specimen. For determining macromolecular structures, repeating molecules can be localized in tomograms and subjected to subtomogram averaging, the 3D analog to single particle analysis. In addition to molecular structure, tomograms have a wealth of other information that can be accessed through image processing, including the analysis of membrane surfaces, cytoskeletal filaments, and the relationships between molecules of interest. Here, we provide an overview of recent developments in cryo-ET image processing with the goal of clarifying key considerations to help new users obtain novel biological findings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.