Evidence map›Paper›PMID 23138193›Full record

ArticleLab on a chip2013

Optofluidic imaging: now and beyond.

Yanhui Zhao, Zackary S Stratton, Feng Guo, Michael Ian Lapsley, Chung Yu Chan, Sz-Chin Steven Lin, Tony Jun Huang

Abstract read
In one paragraph

Article in Lab on a chip, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Acoustofluidic Droplet Sorter Based on Single Phase Focused Transducers.Small (Weinheim an der Bergstrasse, Germany) · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Microfluidic Based Optical Microscopes on Chip.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Review
  10. Review
  11. Optofluidics Refractometers.Micromachines · 2018
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Plasmofluidics: Merging Light and Fluids at the Micro-/Nanoscale.Small (Weinheim an der Bergstrasse, Germany) · 2015
    Review
  19. 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

7 authors.

Yanhui ZhaoDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
Zackary S Stratton
Feng Guo
Michael Ian Lapsley
Chung Yu Chan
Sz-Chin Steven Lin
Tony Jun Huang

Funding

On-Chip Optofluidic Laser Scanning Confocal Microscope for Early Cancer DetectionDP2OD007209 · OD · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2010 to 2010
$2.2M
NIH HHS 1DP2OD007209-01NIH HHS DP2 OD007209
6 · The paper itself

Abstract

More than a decade of research work in optofluidics has yielded a large catalogue of optofluidic elements that can manipulate light at the micro-scale (e.g., lenses, prisms). Although these elements have proven useful for many on-chip processes (e.g., miniaturized flow cytometry, interferometry and sample spectroscopy), certain deficiencies have precluded their use in micro-scale imaging. However, recent work in optofluidic imaging has avoided optofluidic elements entirely and focused instead on image capture and composition techniques, demonstrating impressive resolution in both 2D imagery and 3D tomography. In this Focus article, we will discuss some of the recent successes in optofluidic imaging and will expound our expectations for the near future of the optofluidic imaging discipline.

Indexed as

AnimalsFluorescent DyesMicrofluidic Analytical TechniquesMicroscopyNematodaOptical ImagingTomographyFluorescent Dyes

Identifiers

PMID23138193
PMCPMC3994168

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.