Evidence map›Paper›PMID 31529595›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2019

An Adaptive Real-Time 3D Single Particle Tracking Method for Monitoring Viral First Contacts.

Shangguo Hou, Kevin Welsher

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Recent Advances in Single-Molecule Tracking and Imaging Techniques.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective.Small (Weinheim an der Bergstrasse, Germany) · 2022
    Review
  20. 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

2 authors.

Shangguo HouDepartment of Chemistry, Duke University, 124 Science Dr., Durham, NC, 27708, USA.ORCID 0000-0001-6394-6467
Kevin WelsherDepartment of Chemistry, Duke University, 124 Science Dr., Durham, NC, 27708, USA.ORCID 0000-0002-3180-279X

Funding

Unraveling the Viral Infection Pathway with Virus-locked ObservationR35GM124868 · NIGMS · DUKE UNIVERSITY · PI Kevin Welsher · 2017 to 2026
$3.8M
NIGMS NIH HHS R35 GM124868
6 · The paper itself

Abstract

Here, an adaptive real-time 3D single particle tracking method is proposed, which is capable of capturing heterogeneous dynamics. Using a real-time measurement of a rapidly diffusing particle's positional variance, the 3D precision adaptive real-time tracking (3D-PART) microscope adjusts active-feedback parameters to trade tracking speed for precision on demand. This technique is demonstrated first on immobilized fluorescent nanoparticles, with a greater than twofold increase in the lateral localization precision (≈25 to ≈11 nm at 1 ms sampling) as well as a smaller increase in the axial localization precision (≈ 68 to ≈45 nm). 3D-PART also shows a marked increase in the precision when tracking freely diffusing particles, with lateral precision increasing from ≈100 to ≈70 nm for particles diffusing at 4 µm

Indexed as

Computer SystemsImaging, Three-DimensionalSingle Molecule ImagingCell Line, TumorFluorescenceHumansMotion3D microscopyadaptive methodsreal-time single particle trackingvirus tracking

Identifiers

PMID31529595
PMCPMC6824287

What OpenQuestion holds

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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.