Evidence map›Paper›PMID 25665878›Full record

ArticleScientific reports2015

Fast super-resolution imaging with ultra-high labeling density achieved by joint tagging super-resolution optical fluctuation imaging.

Zhiping Zeng, Xuanze Chen, Hening Wang, Ning Huang, Chunyan Shan, Hao Zhang, Junlin Teng, Peng Xi

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Electrochemically controlled switching of dyes for enhanced superresolution optical fluctuation imaging (EC-SOFI).Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  3. Review
  4. Article
  5. Review
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  7. Systematic imaging in medicine: a comprehensive review.European journal of nuclear medicine and molecular imaging · 2021
    Review
  8. Quantum Dots for Improved Single-Molecule Localization Microscopy.The journal of physical chemistry. B · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Article
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

8 authors.

Zhiping ZengDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.
Xuanze ChenDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.
Hening WangDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.
Ning HuangCollege of Life Sciences, Peking University, Beijing, China.
Chunyan ShanCollege of Life Sciences, Peking University, Beijing, China.
Hao ZhangDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.
Junlin TengCollege of Life Sciences, Peking University, Beijing, China.
Peng XiDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous stochastic localization-based super-resolution techniques are largely limited by the labeling density and the fidelity to the morphology of specimen. We report on an optical super-resolution imaging scheme implementing joint tagging using multiple fluorescent blinking dyes associated with super-resolution optical fluctuation imaging (JT-SOFI), achieving ultra-high labeling density super-resolution imaging. To demonstrate the feasibility of JT-SOFI, quantum dots with different emission spectra were jointly labeled to the tubulin in COS7 cells, creating ultra-high density labeling. After analyzing and combining the fluorescence intermittency images emanating from spectrally resolved quantum dots, the microtubule networks are capable of being investigated with high fidelity and remarkably enhanced contrast at sub-diffraction resolution. The spectral separation also significantly decreased the frame number required for SOFI, enabling fast super-resolution microscopy through simultaneous data acquisition. As the joint-tagging scheme can decrease the labeling density in each spectral channel, thereby bring it closer to single-molecule state, we can faithfully reconstruct the continuous microtubule structure with high resolution through collection of only 100 frames per channel. The improved continuity of the microtubule structure is quantitatively validated with image skeletonization, thus demonstrating the advantage of JT-SOFI over other localization-based super-resolution methods.

Identifiers

PMID25665878
PMCPMC4322366

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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.