Evidence map›Paper›PMID 32243765›Full record

ReviewAnnual review of biomedical engineering2020

Three-Dimensional Single-Molecule Localization Microscopy in Whole-Cell and Tissue Specimens.

Sheng Liu, Hyun Huh, Sang-Hyuk Lee, Fang Huang

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Indirect Correlative Light and Electron Microscopy (iCLEM): A Novel Pipeline for Multiscale Quantification of Structure From Molecules to Organs.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2024
    Article
  10. Review
  11. Article
  12. Review
  13. Editorial: Adaptive optics forFrontiers in neuroscience · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Comparing Super-Resolution Microscopy Techniques to Analyze Chromosomes.International journal of molecular sciences · 2021
    Article
  20. Review
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

4 authors.

Sheng LiuWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA; email: fanghuang@purdue.edu.
Hyun HuhInstitute for Quantitative Biomedicine, Rutgers University, Piscataway, New Jersey 08854, USA.
Sang-Hyuk LeeInstitute for Quantitative Biomedicine, Rutgers University, Piscataway, New Jersey 08854, USA.
Fang HuangWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA; email: fanghuang@purdue.edu.

Funding

Ultra-high resolution structural and molecular imaging of cells and tissuesR35GM119785 · NIGMS · PURDUE UNIVERSITY · PI Fang Huang · 2016 to 2026
$4.8M
NIGMS NIH HHS R35 GM119785
6 · The paper itself

Abstract

Super-resolution microscopy techniques are versatile and powerful tools for visualizing organelle structures, interactions, and protein functions in biomedical research. However, whole-cell and tissue specimens challenge the achievable resolution and depth of nanoscopy methods. We focus on three-dimensional single-molecule localization microscopy and review some of the major roadblocks and developing solutions to resolving thick volumes of cells and tissues at the nanoscale in three dimensions. These challenges include background fluorescence, system- and sample-induced aberrations, and information carried by photons, as well as drift correction, volume reconstruction, and photobleaching mitigation. We also highlight examples of innovations that have demonstrated significant breakthroughs in addressing the abovementioned challenges together with their core concepts as well as their trade-offs.

Indexed as

AnimalsAstigmatismComaHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMiceMicroscopyMicroscopy, ConfocalMicroscopy, FluorescenceModels, StatisticalOptics and PhotonicsOrganellesPhotobleachingPhotonsadaptive opticsCramér–Rao lower boundCRLBfluorescence microscopylight-sheet microscopysuper-resolution microscopytissue imaging

Identifiers

PMID32243765
PMCPMC7430714

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.