ArticleNature methods2017
Localization-based super-resolution imaging meets high-content screening.
Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 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
53 citing papers in PubMed.
- Versatile and Scalable Reflective Micromirrors for Single-Objective Light Sheet Microscopy.Nano letters · 2026Article
- Quantitative Characterization of Microtubule Ultrastructure Based on Single-Molecule Localization Microscopy.Cytoskeleton (Hoboken, N.J.) · 2026Article
- A coma pattern-based autofocusing method resolves bacterial cold shock response at single-cell level.eLife · 2026Article
- Versatile and Scalable Reflective Micromirrors for Single-Objective Light Sheet Microscopy.bioRxiv : the preprint server for biology · 2026Article
- A flexible framework for automated STED super-resolution microscopy.Scientific reports · 2026Article
- CaMKII Drives Synaptic Maturation by Coordinating Spine Remodeling and Receptor Segregation via Liquid-Liquid Phase Separation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Single-Photon Single-Particle Tracking.bioRxiv : the preprint server for biology · 2025Article
- Microfluidics-based automatic immunofluorescence staining for single-molecule localization microscopy.Biomedical optics express · 2024Article
- Arkitekt: streaming analysis and real-time workflows for microscopy.Nature methods · 2024Article
- Lens-free on-chip 3D microscopy based on wavelength-scanning Fourier ptychographic diffraction tomography.Light, science & applications · 2024Article
- Toward drift-free high-throughput nanoscopy through adaptive intersection maximization.Science advances · 2024Article
- From Cell Populations to Molecular Complexes: Multiplexed Multimodal Microscopy to Explore p53-53BP1 Molecular Interaction.International journal of molecular sciences · 2024Article
- An integrated platform for high-throughput nanoscopy.Nature biotechnology · 2023Article
- Functional annotation map of natural compounds in traditional Chinese medicines library: TCMs with myocardial protection as a case.Acta pharmaceutica Sinica. B · 2023Article
- Method for nanoparticles uptake evaluation based on double labeled fluorescent cells scanned in enhanced darkfield microscopy.Biomedical optics express · 2023Article
- BNP-Track: A framework for multi-particle superresolved tracking.bioRxiv : the preprint server for biology · 2023Article
- Field-dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging.Nature methods · 2023Article
- Functional regulation of syntaxin-1: An underlying mechanism mediating exocytosis in neuroendocrine cells.Frontiers in endocrinology · 2023Review
- Engineering a DNA origami mediated multicolour quantum dot platform for sub-diffraction spectral separation imaging.RSC advances · 2022Article
- PCIe-based FPGA-GPU heterogeneous computation for real-time multi-emitter fitting in super-resolution localization microscopy.Biomedical optics express · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-molecule localization microscopy techniques have proven to be essential tools for quantitatively monitoring biological processes at unprecedented spatial resolution. However, these techniques are very low throughput and are not yet compatible with fully automated, multiparametric cellular assays. This shortcoming is primarily due to the huge amount of data generated during imaging and the lack of software for automation and dedicated data mining. We describe an automated quantitative single-molecule-based super-resolution methodology that operates in standard multiwell plates and uses analysis based on high-content screening and data-mining software. The workflow is compatible with fixed- and live-cell imaging and allows extraction of quantitative data like fluorophore photophysics, protein clustering or dynamic behavior of biomolecules. We demonstrate that the method is compatible with high-content screening using 3D dSTORM and DNA-PAINT based super-resolution microscopy as well as single-particle tracking.
Indexed as
Identifiers
29083400What 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.