ReviewThe Biochemical journal2021
Current data processing strategies for cryo-electron tomography and subtomogram averaging.
Review in The Biochemical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Article
- Article
- A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.Bioinformatics (Oxford, England) · 2026Article
- A cryo-CLEM-guided workflow for quantitative assessment and optimization of cryo-ET specimen quality.Molecules and cells · 2026Article
- Resolving structural heterogeneity in situ through cryogenic electron tomography.Current opinion in structural biology · 2026Review
- In situ structure of bacterial 50S ribosomes at 3.0 Å resolution from vitreous sections.Communications biology · 2025Article
- Cryo-EM single-particle analysis expanding towards increasingly native samples.Acta crystallographica. Section D, Structural biology · 2025Review
- PickET: An unsupervised method for localizing macromolecules in cryo-electron tomograms.Research square · 2025Article
- A realistic phantom dataset for benchmarking cryo-ET data annotation.Nature methods · 2025Article
- PickET: An unsupervised method for localizing macromolecules in cryo-electron tomograms.bioRxiv : the preprint server for biology · 2025Article
- Cryo-electron tomography reveals how COPII assembles on cargo-containing membranes.Nature structural & molecular biology · 2025Article
- Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data.Journal of visualized experiments : JoVE · 2025Article
- Frontiers in integrative structural modeling of macromolecular assemblies.QRB discovery · 2025Review
- Methods to Study Poxvirus Structures by Cryo-EM Imaging Modalities.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Article
- TOMOMAN: a software package for large scale cryo-electron tomography data preprocessing, community data sharing, and collaborative computing.bioRxiv : the preprint server for biology · 2024Article
- Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.Nature methods · 2024Article
- What shapes template-matching performance in cryogenic electron tomography in situ?Acta crystallographica. Section D, Structural biology · 2024Article
- STOPGAP: an open-source package for template matching, subtomogram alignment and classification.Acta crystallographica. Section D, Structural biology · 2024Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cryo-electron tomography (cryo-ET) can be used to reconstruct three-dimensional (3D) volumes, or tomograms, from a series of tilted two-dimensional images of biological objects in their near-native states in situ or in vitro. 3D subvolumes, or subtomograms, containing particles of interest can be extracted from tomograms, aligned, and averaged in a process called subtomogram averaging (STA). STA overcomes the low signal to noise ratio within the individual subtomograms to generate structures of the particle(s) of interest. In recent years, cryo-ET with STA has increasingly been capable of reaching subnanometer resolution due to improvements in microscope hardware and data processing strategies. There has also been an increase in the number and quality of software packages available to process cryo-ET data with STA. In this review, we describe and assess the data processing strategies available for cryo-ET data and highlight the recent software developments which have enabled the extraction of high-resolution information from cryo-ET datasets.
Indexed as
Identifiers
What OpenQuestion holds
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.