ArticleNature methods2018
Multicolor single-particle reconstruction of protein complexes.
Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed, 96 citations in OpenAlex.
- Super-resolution microscopy for structural biology.Nature methods · 2025Review
- SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025Article
- Super-Resolution Goes Viral: T4 Virus Particles as Versatile 3D-Bio-NanoRulers.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics.Nature communications · 2025Article
- AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.The Journal of cell biology · 2024Review
- Simcryocluster: a semantic similarity clustering method of cryo-EM images by adopting contrastive learning.BMC bioinformatics · 2024Article
- Insights into protein structure using cryogenic light microscopy.Biochemical Society transactions · 2023Review
- Nanoscale organization of the endogenous ASC speck.iScience · 2023Article
- Detecting continuous structural heterogeneity in single-molecule localization microscopy data.Scientific reports · 2023Article
- Article
- Dimerization of iLID optogenetic proteins observed using 3D single-molecule tracking in live E. coli.Biophysical journal · 2023Article
- Architectural basis for cylindrical self-assembly governing Plk4-mediated centriole duplication in human cells.Communications biology · 2023Article
- Quantitative Single-Molecule Localization Microscopy.Annual review of biophysics · 2023Review
- Nanoscale structural organization and stoichiometry of the budding yeast kinetochore.The Journal of cell biology · 2023Article
- Advanced image-free analysis of the nano-organization of chromatin and other biomolecules by Single Molecule Localization Microscopy (SMLM).Computational and structural biotechnology journal · 2023Article
- Recent development of computational cluster analysis methods for single-molecule localization microscopy images.Computational and structural biotechnology journal · 2023Review
- Maximum-likelihood model fitting for quantitative analysis of SMLM data.Nature methods · 2023Article
- Super-Resolution Microscopy of the Synaptonemal Complex within the Caenorhabditis elegans Germline.Journal of visualized experiments : JoVE · 2022Article
- Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy.Molecular biology of the cell · 2022Article
- Mapping molecular complexes with super-resolution microscopy and single-particle analysis.Open biology · 2022Review
Corrections and comments
- Commented on by
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-particle reconstruction (SPR) from electron microscopy (EM) images is widely used in structural biology, but it lacks direct information on protein identity. To address this limitation, we developed a computational and analytical framework that reconstructs and coaligns multiple proteins from 2D super-resolution fluorescence images. To demonstrate our method, we generated multicolor 3D reconstructions of several proteins within the human centriole, which revealed their relative locations, dimensions and orientations.
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.