Evidence map›Paper›PMID 28939852›Full record

ArticleScientific reports2017

Scalable Spatial-Spectral Multiplexing of Single-Virus Detection Using Multimode Interference Waveguides.

Damla Ozcelik, Aadhar Jain, Alexandra Stambaugh, Matthew A Stott, Joshua W Parks, Aaron Hawkins, Holger Schmidt

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Free-Space Excitation of Optofluidic Devices for Pattern-Based Single Particle Detection.IEEE photonics technology letters : a publication of the IEEE Laser and Electro-optics Society · 2021
    Article
  6. Article
  7. Optofluidic multiplex detection of single SARS-CoV-2 and influenza A antigens using a novel bright fluorescent probe assay.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. On-Chip Optical Detection of Viruses: A Review.Advanced photonics research · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Buried Rib SiOIEEE photonics technology letters : a publication of the IEEE Laser and Electro-optics Society · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Optofluidic Amplification-free Multiplex Detection of Viral Hemorrhagic Fevers.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    Article
  17. Enhanced Detection of Single Viruses On-Chip via Hydrodynamic Focusing.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    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.

Damla OzcelikSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
Aadhar JainSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.ORCID 0000-0001-6085-0267
Alexandra StambaughSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
Matthew A StottECEn Department, 459 Clyde Building, Brigham Young University, Provo, UT, 84602, USA.
Joshua W ParksSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
Aaron HawkinsECEn Department, 459 Clyde Building, Brigham Young University, Provo, UT, 84602, USA.
Holger SchmidtSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA. hschmidt@soe.ucsc.edu.

Funding

Multiplexed, Non-Amplified, Nucleic Acid-Based Identification of Multidrug Resistant Pathogens Using an Integrated Optofluidic PlatformR01AI116989 · NIAID · BRIGHAM YOUNG UNIVERSITY · PI HAWKINS, AARON R., PITT, WILLIAM G · 2015 to 2019
$5.4M
Hybrid integrated molecular analysis (HIMAS) for point-of-care diagnosticsR33AI100229 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SCHMIDT, HOLGER · 2014 to 2016
$1.7M
NIAID NIH HHS R01 AI116989NIAID NIH HHS R33 AI100229
6 · The paper itself

Abstract

Simultaneous detection of multiple pathogens and samples (multiplexing) is one of the key requirements for diagnostic tests in order to enable fast, accurate and differentiated diagnoses. Here, we introduce a novel, highly scalable, photonic approach to multiplex analysis with single virus sensitivity. A solid-core multimode interference (MMI) waveguide crosses multiple fluidic waveguide channels on an optofluidic chip to create multi-spot excitation patterns that depend on both the wavelength and location of the channel along the length of the MMI waveguide. In this way, joint spectral and spatial multiplexing is implemented that encodes both spatial and spectral information in the time dependent fluorescence signal. We demonstrate this principle by using two excitation wavelengths and three fluidic channels to implement a 6x multiplex assay with single virus sensitivity. High fidelity detection and identification of six different viruses from a standard influenza panel is reported. This multimodal multiplexing strategy scales favorably to large numbers of targets or large numbers of clinical samples. Further, since single particles are detected unbound in flow, the technique can be broadly applied to direct detection of any fluorescent target, including nucleic acids and proteins.

Indexed as

Equipment DesignFluorescent DyesMicrofluidic Analytical TechniquesSensitivity and SpecificitySpatial AnalysisSpectrometry, FluorescenceStaining and LabelingVirusesFluorescent Dyes

Identifiers

PMID28939852
PMCPMC5610187

What OpenQuestion holds

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LicenceCC BY
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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.