Evidence map›Paper›PMID 28518172›Full record

ArticleNature protocols2017

Super-resolution microscopy with DNA-PAINT.

Joerg Schnitzbauer, Maximilian T Strauss, Thomas Schlichthaerle, Florian Schueder, Ralf Jungmann

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06105177 (Implementation of Up-front ctDNA Analysis Into Lung Cancer Care and Development of Liquid Biopsy-based Decision Support Models - the Lungmarker² Study), which is not on this map. Cited by 521 papers.

0numbers the graph read from it
0cells of the map it votes in
521citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT06105177 recruitingnot on this mapstarted 2023, after this paper: background citation

Implementation of Up-front ctDNA Analysis Into Lung Cancer Care and Development of Liquid Biopsy-based Decision Support Models - the Lungmarker² Study

Typeobservational_patient_registrySponsorCatharina Ziekenhuis EindhovenRan2023 to 2026Enrolled800ConditionsLung Cancer
3 · Its place in the literature

Who cites it

521 citing papers in PubMed.

  1. Article
  2. Review
  3. Nanorulers for Super-Resolution Microscopy.Chembiochem : a European journal of chemical biology · 2026
    Review
  4. Article
  5. Article
  6. Quantitative nanoscale imaging shows peptide-MHC I complexes are monomeric and spatially regulated in human dendritic cells.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Tight junction structure, assembly and (dys)function.Nature reviews. Molecular cell biology · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Re-establishment of TAD boundary organization during DNA replication.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. ILK binding to β1 integrin is indirect and mediated by kindlin-2.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Nanoscale Spatial Organization of ARC High- and Low-Order Assemblies at Excitatory Synapses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  18. Article
  19. Article
  20. Article

461 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Joerg SchnitzbauerDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Maximilian T StraussDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Thomas SchlichthaerleDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Florian SchuederDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Ralf JungmannDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution techniques have begun to transform biological and biomedical research by allowing researchers to observe structures well below the classic diffraction limit of light. DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) offers an easy-to-implement approach to localization-based super-resolution microscopy, owing to the use of DNA probes. In DNA-PAINT, transient binding of short dye-labeled ('imager') oligonucleotides to their complementary target ('docking') strands creates the necessary 'blinking' to enable stochastic super-resolution microscopy. Using the programmability and specificity of DNA molecules as imaging and labeling probes allows researchers to decouple blinking from dye photophysics, alleviating limitations of current super-resolution techniques, making them compatible with virtually any single-molecule-compatible dye. Recent developments in DNA-PAINT have enabled spectrally unlimited multiplexing, precise molecule counting and ultra-high, molecular-scale (sub-5-nm) spatial resolution, reaching ∼1-nm localization precision. DNA-PAINT can be applied to a multitude of in vitro and cellular applications by linking docking strands to antibodies. Here, we present a protocol for the key aspects of the DNA-PAINT framework for both novice and expert users. This protocol describes the creation of DNA origami test samples, in situ sample preparation, multiplexed data acquisition, data simulation, super-resolution image reconstruction and post-processing such as drift correction, molecule counting (qPAINT) and particle averaging. Moreover, we provide an integrated software package, named Picasso, for the computational steps involved. The protocol is designed to be modular, so that individual components can be chosen and implemented per requirements of a specific application. The procedure can be completed in 1-2 d.

Indexed as

Cytological TechniquesDNAImage Processing, Computer-AssistedMacromolecular SubstancesMicroscopy, FluorescenceStaining and LabelingDNAMacromolecular Substances

Identifiers

PMID28518172

What OpenQuestion holds

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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.